Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chandra, Satish
- Arenaria thangoensis W.W.Sm. (Caryophyllaceae), a Threatened Species Hitherto Considered Endemic to Sikkim Rediscovered from the Western Himalaya, India
Abstract Views :275 |
PDF Views:81
Authors
Affiliations
1 Department of Biological Sciences, College of Basic Sciences and Humanities, G.B. Pant University of Agriculture and Technology, Pantnagar 263 145, IN
1 Department of Biological Sciences, College of Basic Sciences and Humanities, G.B. Pant University of Agriculture and Technology, Pantnagar 263 145, IN
Source
Current Science, Vol 112, No 04 (2017), Pagination: 693-695Abstract
The genus Arenaria s.l. is represented by about 210 species of annual or perennial herbs distributed in the temperate and arctic areas of Asia, Europe, northern Africa, North America and South America1. In India, it is represented by 24 species2 mainly confined to the Himalaya of which Arenaria curvifolia Majumdar, Arenaria ferruginea Duthie ex F.- Occupancy Time-Based Passenger Car Equivalents at Unsignalized Intersections in India
Abstract Views :195 |
PDF Views:63
Authors
Affiliations
1 Department of Civil Engineering, MES College of Engineering, Kuttippuram 679 573, IN
2 Central Road Research Institute, New Delhi 110 025, IN
1 Department of Civil Engineering, MES College of Engineering, Kuttippuram 679 573, IN
2 Central Road Research Institute, New Delhi 110 025, IN
Source
Current Science, Vol 114, No 06 (2018), Pagination: 1346-1352Abstract
In developing countries, one of the vital steps involved in analysing the capacity of any transportation facility is the estimation of passenger car equivalents (PCEs) for different types of vehicles to convert the heterogeneous traffic stream into an equivalent stream of passenger cars. This study proposes occupancy time method for the estimation of PCEs for different types of vehicles generally observed at unsignalized intersections in India. PCEs for vehicles executing different movements at unsignalized intersections have been estimated in this study and the dynamic nature of PCEs has also been explored. However, PCEs were found to be statistically similar across different movements and across intersections of different geometry.Keywords
Heterogeneous Traffic Conditions, Occupancy Time, Passenger Car Equivalents, Unsignalized Intersections.References
- Highway Capacity Manual, National Research Council, Transportation Research Board, USA, 1965.
- Highway Capacity Manual, National Research Council, Transportation Research Board, USA, 1950.
- Transport and Road Research Laboratory, Research on Road Traffic, H.M.S.O., London, 1965.
- Highway Capacity Manual, National Research Council, Transportation Research Board, USA, 2010.
- Krammes, R. A. and Crowley, K. W., Passenger car equivalents for trucks on level freeway segments. Transp. Res. Rec. J. Transp. Res. Board, 1986, 1091, 10–17.
- Elefteriadou, L., Torbic, D. and Webster, N., Development of passenger car equivalents for freeways, two-lane highways, and arterials. Transp. Res. Rec. J. Transp. Res. Board, 1997, 1572, 51–58.
- Van Aerde, M. and Yagar, S., Capacity, speed and platooning vehicle equivalent for two-lane rural highways. Transp. Res. Rec. J. Transp. Res. Board, 1984, 971, 58–67.
- Chandra, S. and Kumar, U., Effect of lane width on capacity under mixed traffic conditions in India. J. Transp. Eng. ACSE, 2003, 129, 155–160.
- Webster, N. and Elefteriadou, L., A simulation study of truck passenger car equivalents (PCE) on basic freeway sections. Transp. Res. Part B, 1999, 33, 323–336.
- Sirisoponsilp, S., Hirun, W. and Sangarunlert, W., Passenger car equivalents for trucks and buses on highways in Thailand. In Proceedings of the Eastern Asia Society for Transportation Studies, Hanoi, Vietnam, 2001, vol. 3, pp. 271–283.
- Tanaboriboon, Y. and Aryal, R., Effect of vehicle size on highway capacity in Thailand. J. Transp. Eng., ASCE, 1990, 116, 658–666.
- Craus, J., Polus, A. and Grinberg, I., A revised method for the determination of passenger car equivalencies. Transp. Res. Part A, 1980, 14, 241–246.
- Al-Kaisy, A., Hall, F. and Reisman, E., Developing passenger car equivalents for heavy vehicles on freeways during queue discharge flow. Transp. Res., Part A, 2002, 36, 725–742.
- Mallikarjuna, C. and Rao, R. K., Modelling of passenger car equivalency under heterogeneous traffic conditions. In Proceedings of the 22nd ARRB Conference – Research into Practice, Canberra, Australia, 2006, pp. 1–13.
- Cao, N. Y. and Sano, K., Estimating capacity and motorcycle equivalent units on urban roads in Hanoi, Vietnam. J. Transp. Eng., ASCE, 2012, 138, 776–785.
- Lan, L. W. and Chang, C.-W., Inhomogeneous cellular automata modelling for mixed traffic with cars and motorcycles. J. Adv. Transp., 2005, 39, 323–349.
- Mohan, M. and Chandra, S., Three methods of PCU estimation at unsignalized intersections. Transp. Lett., 2016, 1–7; doi:10.1080/19427867.2016.1190883.
- Mohan, M. and Chandra, S., Influence of major stream composition on critical gap at two-way stop-controlled intersections. In Proceedings of the 95th Annual Meeting of Transportation Research Board, Washington, DC, USA, 2016.
- Guidelines on design of At-grade intersections in rural and urban areas. In Indian Roads Congress, SP 41, New Delhi, 1994.
- Travel Time Reliability as a Level of Service Measure for Urban and Inter-Urban Corridors in India
Abstract Views :276 |
PDF Views:91
Authors
Affiliations
1 Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, IN
2 CSIR-Central Road Research Institute, New Delhi 100 025, IN
1 Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, IN
2 CSIR-Central Road Research Institute, New Delhi 100 025, IN
Source
Current Science, Vol 114, No 09 (2018), Pagination: 1913-1922Abstract
The present study demonstrates the application and usefulness of travel time reliability as a level of service (LOS) measure for urban arterial and inter-urban highway corridors on Indian roads. For travel time estimation, automatic vehicle license plate number data were collected through TrafficMon system. This system is a fully video-based enforcement system designed to measure the speed of vehicles passing in view of the camera, and read the vehicular license plate number. This system was implemented at the entry and exit side of the identified three study corridors and data were collected during morning and evening peak periods. The data were analysed and various travel time reliability measures were evaluated. The study also attempts to correlate reliability measures such as planning time (PT), buffer time (BT), planning time index (PTI) and buffer time index (BTI) with volume-to-capacity ratio which is the most widely used LOS measure for Indian roads. Analysis of results indicated that at LOS B the travel time of intercity highway was 40–46 sec/km, whereas it was 64–80 sec/km and 75–135 sec/km for urban uninterrupted and interrupted corridors respectively. The planning time for LOS B was more on urban arterial corridors when compared to inter-urban corridor for the same width of the carriageway. The upper limits of LOS B for PT were 132 sec/km and 63 sec/km for uninterrupted urban corridor and intercity highway corridor respectively. Other parameters of reliability like PTI and BTI were also evaluated and their values for different ranges of volume-capacity ratio were presented for identified corridors.Keywords
Automatic License Plate Method, Buffer Time Index, Capacity, Travel Time Index, Travel Time Reliability, Urban Arterial.References
- Asakura, Y. and Kashiwadani, M., Road network reliability caused by daily fluctuation of traffic flow. In Proceedings of the 19th PTRC, Summer Annual Meeting in Brighton, Seminar G, 1991, pp. 73–84.
- FHWA, Travel time reliability: making it there on time, all the time. US Department of Transportation, Federal Highway Administration, 2006; http://www.ops.fhwa.dot.gov/publications/tt_reliability/index.htm
- California PATH, Considering risk taking behaviour in travel time reliability, California Path Program, Institute of Transportation Studies, University of California, Berkeley, 2005; http://www.dot.ca.gov/research/researchreports/reports/2005/to_4110.pdf
- Asakura, Y., Travel time reliability. In 3rd Center of Excellence (COE) Symposium, University of Washington, Seattle, USA, 2006.
- Chen, A., Ji, Z. and Recker, W., Effect of route choice models on estimation of travel time reliability under demand and supply variations. In Proceedings of the 1st International Symposium on Transportation Network Reliability (eds Bell, M. G. H. and Iida, Y.), Pergamon, 2003, pp. 93–117.
- Highway Capacity Manual, Transportation Research Board, Washington DC, 2010, 6th edn.
- SHRP, Incorporation of Travel Time Reliability in to the Highway Capacity Nanual, 2012.
- Roger, P. R. and Elena, S. P., The highway capacity manual: a conceptual and research history, Uninterrupted Flow, Springer, USA, 2014, vol. 1.
- Kittelson, W. and Vandehey, M., Incorporation of travel time reliability into the HCM, SHRP 2 Reliability Project L08, 2013.
- Margiotta, McLeod, Scorsone and Dowling, Travel time reliability as a service measure for urban freeways in Florida; http://www.dot.state.fl.us/planning/statistics/mobilitymeasures/Task13-ttr4urban.pdf
- Lyman, K. and Bertini, R. L., Using travel time reliability measures to improve regional transportation planning and operations, Transportation research record (2046). J. Transport. Res. Board, 2008, 1–10.
- Ravi Sekhar Ch. Kitazawa, T. Tanabe, J. Suga, Y. and Asakura, Y., Examining travel time reliability on Hanshin expressway network. J. Eastern Asia Soc. Transp. Stud. (EASTS), 2007, 7, 2274–2288.
- Tanabe, J., Asakura, Y., Istuubo, S., Maekawa, T. and Okutan, T., Uncertainty of travel time and route choice behaviour – empirical analysis using probe person data. In Proceedings of the 3rd International Symposium on Transport Network Reliability (INSTR), 2007.
- Trafficmon system, Kritikal Secure Scan Limited, B-29, Sector 57, Noida, India.
- Chandra, S. and Kumar, U., Effect of lane width on capacity under mixed traffic conditions in India. J. Transp. Eng., ASCE, 2003, 129(2), 155–160.
- MATLAB Software. MATALAB and Simulink for Technical Computing Software, Mathworks Inc, USA, 2012.
- Assessment of Level of Service for Urban Signalized Intersections in India
Abstract Views :259 |
PDF Views:79
Authors
Affiliations
1 Department of Civil Engineering, National Institute of Technology, Hamirpur 177 005, IN
2 CSIR-Central Road Research Institute, New Delhi 110 002, IN
3 Department of Civil Engineering, Indian Institute of Technology- Roorkee, Roorkee 247 667, IN
1 Department of Civil Engineering, National Institute of Technology, Hamirpur 177 005, IN
2 CSIR-Central Road Research Institute, New Delhi 110 002, IN
3 Department of Civil Engineering, Indian Institute of Technology- Roorkee, Roorkee 247 667, IN
Source
Current Science, Vol 117, No 9 (2019), Pagination: 1516-1521Abstract
Significant work on level of service (LOS) has been conducted around the globe over the last two decades. However, till date, no guidelines exist for LOS of signalized intersections in India. The present study attempts to introduce LOS criteria for signalized intersection under mixed traffic condition. Thirteen intersections from four different cities of India were chosen for this study. Delay at intersections (which is the backbone for deriving LOS) is estimated using the area estimation method (according to HCM 2010). Clustering technique (to be specific, K-mean clustering) has been used to classify six clusters of delay corresponding to six different LOS and arrive at a LOS criteria. Silhouette method has been employed to validate the proposed delay clusters. The silhouette indices obtained justify the proposed delay ranges corresponding to the clusters and indicate the possible implementation of the proposed LOS for rating the performance of signalized intersections of India.Keywords
Area Estimation Method, LOS, K-Mean Clustering, Signalized Intersection, User Perception Survey.References
- Highway Capacity Manual, National Research Council, Washington DC, 1965.
- Highway Capacity Manual, National Research Council, Washington DC, 2010.
- Dowling, R. G., Use of default parameters for estimating signalized intersection levelof service. Trnsprt. Res. Rec., 1985, 1985, 5, 82–95.
- Fang, F. C., Elefteriadou, L., Pecheux, K. K. and Pietrucha, M. T., Using fuzzy clustering of user perception to define levels of service at signalized intersections. J. Trnsp. Eng., 2004, 129, 657–663.
- Zhang, L. and Prevedouros, P. D., User perceptions of signalized intersection level of service using fuzzy logic. Trnsprtmtrc., 2011, 7, 279–296.
- Becher, T., A new procedure to determine a user-oriented level of service of traffic lightcontrolled crossroads. Proc. Soc. Behav. Sci., 2011, 16, 515–525.
- Jou, R. C. and Chen, Y. W., Driver’s acceptance of delay time at different levels of service at signalised intersections. Trnspt. Res. Part A: Policy Prct., 2013, 58, 54–66.
- Berg, W. D., Development of safety-based level-of-service criteria for isolated signalized intersections. Trnsprt. Res. Rec., 1984, 98– 104.
- Chen, X., Li, D., Ma, N. and Shao, C., Prediction of user perceptions of signalized intersection level of service based on fuzzy neural networks. Trnsprt. Res. Rec., 2009, 2130, 7–15.
- Zhang, L. and Prevedouros, P. D., Signalized intersection level of service incorporating safety risk. Trnsprt. Res. Rec., 2003, 1852, 77–86.
- Patel, C. R. and Joshi, D. G. J., Capacity and LOS for urban arterial road in Indian mixed traffic condition. Proc. Soc. Behav. Sci., 2012, 48, 527–534.
- Biswas, S., Singh, B. and Saha, A., Assessment of level-of-service on urban arterials: a case study in Kolkata metropolis. Int. J. Trfc. Trnsprt. Engg., 2016, 6(3), 303–312.
- Bhuyan, P. K. and Rao, K. V. K., Defining level of service criteria of urban streets in Indian context. Eur. Trnspt., 2011,49, 38–52.
- Spector, P., Stat 133 Class Notes, University of California, Barkeley, 2011.
- An analytical hierarchy process-based assessment of factors affecting service performance of tollbooth operators
Abstract Views :153 |
PDF Views:95
Authors
Affiliations
1 Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India, IN
2 Department of Civil Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee 247 667, India, IN
1 Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India, IN
2 Department of Civil Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee 247 667, India, IN
Source
Current Science, Vol 122, No 11 (2022), Pagination: 1327-1341Abstract
The efficiency of manual toll transactions is highly dependent upon the service performance of tollbooth operators. The latter is a multi-attribute decision making (MADM) problem, as the performance of the tollbooth operators is influenced by various criteria such as traffic operation, tollbooth ergonomics, etc. The present study has used the analytical hierarchy process (AHP), a MADM method, to evaluate the criteria affecting the service performance of tollbooth operators. The identified criteria are further ranked based on their significance so that the concessionaire as a decision-maker may identify the most important criteria and take appropriate decisions to improve the service performance of tollbooth operators. Based on the available literature, the criteria affecting the service performance of tollbooth operators included service time, their capability in terms of service training, shift timings and personal safety. A structured AHP questionnaire was prepared for developing the relative importance matrix from the perception of the tollbooth operator. The weights were obtained from the AHP relative importance matrix and used for setting the priorities. The results show that the operator’s capability as a criterion and training given to tollbooth operators as a sub-criterion have the highest priorities with weights of 0.51 and 0.214 respectively (global weight). Finally, sensitivity analysis was performed to check the effect of change in weights of criteria on the service performance of tollbooth operators. Thus, the output could be used by the concessionaire to meet the requirements of the tollbooth operators for enhancing their service performance in order to improve the service level of toll plazas.Keywords
Analytical Hierarchy Process, Multi-attribute Decision-making, Service Performance, Tollbooth Operators, WeightsReferences
- Navandar, Y. V., Bari, C. S., Dhamaniya, A., Arkatkar, S. and Patel, D. A., Investigation on the determinants of service headway variability at tollbooths under mixed traffic scenario in emerging countries. Curr. Sci., 2021, 121(1), 148–160.
- Bari, C., Chandra, S., Dhamaniya, A. and Navandar, Y., Novel approach for design of merging and diverging length at toll plazas: a case study. Transp. Res. Rec. J. Transp. Res. Board, 2022, 2676(3), 17–37.
- National Highway Fee (Determination Rates Collect. Rules, The Gazette of India. Ministry of Shipping, Road Transport and Highways, Government of India, 2008, pp. 1–28.
- Chauhan, R., Dhamaniya, A. and Arkatkar, S., Driving behaviour at signalized intersections operating under disordered traffic conditions. Transp. Res. Rec. J. Transp. Res. Board, 2021, 2675(1), 1356–1378.
- Navandar, Y. V., Dhamaniya, A., Patel, D. A. and Chandra, S., Traffic flow analysis at manual tollbooth operation under mixed traffic conditions. J. Transp. Eng. Part A, 2019, 145, 1–17.
- Times of India, Most state highways yet to go for payments through FASTags; 2021, pp. 1–2; https://timesofindia.indiatimes.com/business/india-business/most-state-highways-yet-to-go-forpayments-through-fastags/articleshow/81101549.cms (accessed on 5 August 2021).
- Bari, C., Navandar, Y. and Dhamaniya, A., Service time variation analysis at manually operated toll plazas under mixed traffic conditions in India. J. East. Asia Soc. Transp. Stud., 2019, 13, 331–350.
- https://www.tolls.eu/germany (accessed on 15 June 2020).
- https://www.tolls.eu/united-kingdom and https://www.m6toll.co.uk/pricing/#pricing-guides (accessed on 16 June 2020).
- Bari, C. S., Kumawat, A. and Dhamaniya, A., Effectiveness of FASTag system for toll payment in India. In 7th International IEEE Conference Models and Technologies for Intelligent Transportation Systems, 16–17 June 2021, pp. 1–6.
- Jose, R. and Mitra, S., Identifying and classifying highway bottlenecks based on spatial and temporal variation of speed. J. Transp. Eng. Part A Syst., 2018, 144, 1–12.
- Bari, C. S., Navandar, Y. V. and Dhamaniya, A., Delay modelling at the manually operated toll plazas under mixed traffic conditions. Int. J. Transp. Sci. Technol., 2022, 11, 17–31.
- Vroom, V. H., Work and Motivation, Wiley, New York, USA, 1994.
- Armstrong, M. and Stephen, T., Armstrong’s Handbook of Human Management Practice, Kogan Page, London, UK, 2010, 13th edn.
- Mittal, K. C., Goel, A. K. and Mohindru, P., Performance evaluation of employees using analytical hierarchical process: a case study of Indian IT industry. Asia-Pac. Bus. Rev., 2009, V, 119–127.
- Lidinska, L. and Jablonsky, J., AHP model for performance evaluation of employees in a Czech management consulting company. Cent. Eur. J. Oper. Res., 2018, 26, 239–258.
- Anderson, C., The advantages of employee involvement in decision making. Chron, 2019, 1–7; https://smallbusiness.chron.com/advantages-employee-involvement-decision-making (accessed on 10 December 2020).
- Islam, M. R. R. and Shuib, Employee performance evaluation by AHP: a case study. In Proceedings of the 8th International Symposium on the Analytic Hierarchy Process Multi-criteria Decision Making, 2005, p. 16.
- Ijeoma, C. and Mbah, J. C., Employee participation in decision making and its impact on organizational performance: evidence from Government Owned Enterprises, Port Harcourt, Nigeria. SSRN Electron. J., 2020, 1–18.
- Rao, V. R., Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, Springer, London, 2006, vol. 2, pp. 1–373.
- Zhou, J. and Zhu, C. Y., Compensatory analysis and optimization for MADM for heterogeneous wireless network selection. J. Electr. Comput. Eng., 2016, 2016, 1–10.
- Ziemba, P., Towards strong sustainability management – a generalized PROSA method. Sustain, 2019, 11.
- Ai, L., Liu, S., Ma, L. and Huang, K., A multi-attribute decision making method based on combination of subjective and objective weighting. In 5th International Conference on Control, Automation and Robotics (ICCAR), Beijing, China, 19–22 2019, pp. 576–580.
- Saaty, T. L., Decision making with the analytic hierarchy process. Int. J. Serv. Sci., 2008, 1, 83–98.
- Saaty, R. W., The analytic hierarchy process – what it is and how it is used. Mathi Model., 1987, 9, 161–176.
- Arroyo, P., Tommelein, I. D. and Ballard, G., Comparing AHP and CBA as decision methods to resolve the choosing problem in detailed design. J. Constr. Eng. Manage. ASCE, 2015, 141, 1–8.
- Nassereddine, M. and Eskandari, H., An integrated MCDM approach to evaluate public transportation systems in Tehran. Transp. Res. Part A Policy Pract., 2017, 106, 427–439.
- Oses, U., Rojí, E., Cuadrado, J. and Larrauri, M., Multiple-criteria decision-making tool for local governments to evaluate the global and local sustainability of transportation systems in urban areas: case study. J. Urban Plan. Dev., 2018, 144, 1–17.
- Darani, S. K., Eslami, A. A., Jabbari, M. and Asefi, H., Parking lot site selection using a fuzzy AHP–TOPSIS framework in Tuyserkan, Iran. J. Urban Plan. Dev., 2018, 144, 1–10.
- Singh, M., Baranwal, G. and Tripathi, A. K., QoS – aware selection of IoT-based service. Arab. J. Sci. Eng., 2020, 45 10033–10050.
- Li, H., Zhu, X. and Huo, Y., Uncertain type of AHP method in layout of expressway service areas. In International Conference on Transportation Engineering, 2009, pp. 747–752.
- Velasquez, M. and Hester, P. T., An analysis of multi-criteria decision-making methods. Int. J. Oper. Res., 2013, 10, 56–66.
- Wakchaure, S. S. and Jha, K. N., Determination of bridge health index using analytical hierarchy process. Constr. Manage. Econ., 2012, 30, 133–149.
- Olson, D. L., The analytic hierarchy process. In Decision Aids for Selection Problems, Springer Series in Operations Research. Springer, New York, USA, 2011, pp. 49–68.
- de Oliveira, M. L. and Cybis, H. B. B., An artificial neural network model for evaluating workers’ performance at tollbooths. Transp. Res. Rec. J. Transp. Res. Board, 2003, pp. 310–344.
- Sehgal, M., Suresh, R., Sharma, V. P. and Gautam, S. K., Assessment of outdoor workers’ exposure to air pollution in Delhi (India). Int. J. Environ. Stud., 2015, 72, 99–116.
- Sharma, N. C., TERI says pollution at toll plazas putting workers. India Today, New Delhi, 25 July 2015.
- Venigalla, M. and Krimmer, M., Impact of electronic toll collection and electronic screening on heavy – duty vehicle emissions. Transp. Res. Rec. J. Transp. Res. Board, Washington DC, 2006, 1987, 11–20.
- Bari, C. S., Navandar, Y. V. and Dhamaniya, A., Vehicular emission modeling at toll plaza using performance box data. J. Hazar., Toxic Radioact. Waste, 2020, 24, 1–19.
- Patel, D. A., Lad, V. H., Chauhan, K. A. and Patel, K. A., Development of bridge resilience index using multicriteria decisionmaking techniques. J. Bridge. Eng., 2020, 25, 1–14.
- Edie, L. C., Traffic delay at toll booths. J. Oper. Res. Soc. Am., 1954, 2, 107–138.
- Lin, F.-B. and Su, C.-W., Level of service analysis of toll plazas on freeway main lines. J. Transp. Eng., 1994, 120, 246–263.
- Bari, C. S., Chandra, S., Dhamaniya, A., Arkatkar, S. and Navandar, Y. V, Service time variability at manual operated tollbooths under mixed traffic environment: towards level-of-service thresholds. Transp. Policy, 2021, 106, 11–24.
- Navandar, Y. V., Dhamaniya, A. and Patel, D. A., Service time prediction models for manual toll booth operation under mixed traffic conditions. Eur. Transp./Trasporti Europei, 2018, 1–21.
- Strauss, P. and Orris, P., A health survey of toll booth workers. Am. J. Ind. Med., 1992, 22, 379–384.
- Torraco, R. J., Exogenous and endogenous variables in decision making and the implications for HRD research and practice. Adv. Dev. Hum. Resour., 2003, 5, 423–439.
- Cheng, X., Cao, Y., Huang, K. and Wang, Y., Modeling the satisfaction of bus traffic transfer service quality at a high-speed railway station. J. Adv. Transp., 2018, 2018, 1–12.
- Medina, A. M. F. and Tarko, A. P., Modeling the endogenous relationship between driver behavior and highway safety. In 85th Annual Meeting of Transportation Research Board, Washington DC, USA, 2006, pp. 1–18.
- Rephlo, J., Carter, M., Robinson, M., Katz, B. and Philmus, K., Toll facilities workplace safety study report to congress. US Department of Transportation, Federal Highway Administration, 2010.
- Vyas, G. S., Jha, K. N. and Patel, D. A., Development of green building rating system using AHP and fuzzy integrals: a case of India. J. Archit. Eng., 2019, 25, 1–12.
- Nurdiana, A., Wibowo, M. A. and Hatmoko, J. U. D., Sensitivity analysis of risk from stakeholders’ perception – case study: Semarang–Solo highway project section i (Tembalang–Gedawang). Procedia Eng., 2015, 125, 12–17.
- Kulkarni, R., 90% of toll collection now FASTag enabled; 60 lakh transactions/day sets new record. 2021, pp. 1–3; https://trak.intags/business/2021/02/19/90-of-toll-collection-now-fastag-enabled60-lakh-transactions-day-sets-new-record/
- Kumar, A., Highways sans toll plazas. 2021, pp. 1–4; https:// www.businesstoday.in/magazine/technology/story/highways-sanstoll-plazas-297645-2021-06-09 (accessed on 13 August 2021).
- Press Information Bureau (PIB) Delhi, National Highways Authority of India takes steps to ensure waiting time should not be more than 10 seconds per vehicle at toll plazas. 2021, p. 1; https:// pib.gov.in/PressReleaseIframePage.aspx?PRID=1721963 (accessed on 27 June 2021).
- https://www.tolls.eu/italy (accessed on 15 June 2020).
- https://www.tolls.eu/spain (accessed on 16 June 2020).
- Asian Development Bank, Multi-lane free flow electronic toll collection. South Asia Subregional Econ. Coop. Port Access Elev. Highw. Proj., 2018, pp. 1–3.
- Kheawubon, C., Usapein, P. and Khedari, J., Impact of electronic toll collection system on energy saving and CO2 emission: a case study of passenger cars in Thailand. Int. J. Renew. Energy Res., 2018, 8, 1840–1848.
- Lu, H. and Zhang, Y., Current state and development of motorway toll collection system in China. Proc. East. Asia Soc. Transp. Stud., 2009, 7, 1–10.
- Xing, L., He, J., Abdel-Aty, M., Cai, Q., Li, Y. and Zheng, O., Examining traffic conflicts of upstream toll plaza area using vehicles’ trajectory data. Accid. Anal. Prev., 2019, 125, 174–187.
- MnDOT, Minnesota tolling study report modern tolling practices and policy considerations. Minnesota Department of Transportation, 2018, pp. 1–106.
- Tri State Transportation Campaign, Road Pricing in London, Stockholm and Singapore – A way Forward for New York City, 2017, pp. 1–20.
- Indian Roads Congress, Manual of Specifications and Standards for Four Lanning of Highways (Second Revision), SP: 84, 2019, pp. 1–219.
- Ziemba, P., Inter-criteria dependencies-based decision support in the sustainable wind energy management. Energies, MDPI, 2019, 12, 1–29.
- Gan, A., Alluri, P., Raihan, M. A., Liu, K., Saha, D. and Jung, R., Automated system to prioritize highway improvement locations and to analyze project alternatives. Transp. Res. Rec. J. Transp. Res. Board, 2017, 2654, 65–75.
- Patel, M. R., Vashi, M. P. and Bhatt, B. V., SMART-multi-criteria decision-making technique for use in planning activities. In New Horizons in Civil Engineering (NHCE 2017), Surat, Gujarat, India, 25–26 March 2017, pp. 1–6.
- Guitouni, A. and Martel, J. M., Tentative guidelines to help choosing an appropriate MCDA method. Eur. J. Oper. Res., 1998, 109, 501–521.
- Navandar, Y. V., Bari, C. and Gaikwad, P. G., Failure factors – a comparative study of private and government construction firms. Eng. Constr. Archit. Manage., 2021, 1–19.
- Hosseinzadeh, M., Hama, H. K., Ghafour, M. Y., Masdari, M., Ahmed, O. H. and Khezri, H., Service selection using multicriteria decision making: a comprehensive overview J. Netw. Syst. Manage., 2020, 28, 1639–1693.
- Yu, J., Wang, L. and Gong, X., Study on the status evaluation of urban road intersections traffic congestion based on AHP-TOPSIS model. Procedia – Soc. Behav. Sci., 2013, 96, 609–616.
- Fei, L., Xia, J., Feng, Y. and Liu, L., An ELECTRE-based multiple criteria decision making method for supplier selection using Dempster-Shafer theory. IEEE Access, 2019, 7, 84701–84716.
- Sabaei, D., Erkoyuncu, J. and Roy, R., A review of multi-criteria decision making methods for enhanced maintenance delivery. Procedia CIRP, 2015, 37, 30–35.
- Sinuany-Stern, Z., Mehrez, A. and Hadad, Y., An AHP/DEA methodology for ranking decision making units. Int. Trans. Oper. Res., 2000, 7, 109–124.
- He, P. and Hua, Z., Compensation analysis with additive DEA model. Kybernetes, Emerald, 2008, 37, 1331–1338.
- Ahmad, N., Berg, D. and Simons, G. R., The integration of analytical hierarchy process and data envelopment analysis in a multicriteria decision-making problem. Int. J. Inf. Technol. Decis. Mak., 2006, 5, 263–276.
- Stević, Ž., Durmić, E., Gajić, M., Pamučar, D. and Puška, A., A novel multi-criteria decision-making model: interval rough SAW method for sustainable supplier selection. Information, MDPI, 2019, 10, 1–21.
- Senyigit, E. and Demirel, B., The selection of material in dental implant with entropy based simple additive weighting and analytic hierarchy process methods. Sigma J. Eng. Nat. Sci. Muhendis. Ve Fen Bilim. Derg., 2018, 36, 731–740.
- Holguín-Veras, J., Comparative assessment of AHP and MAV in highway planning: case study. J. Transp. Eng., 1995, 121, 191–200.
- Habtamu, L. A., Zhao, P. and Ren, J., Track selection for light rail transit (LRT) projects by applying analytic hierarchy process (AHP) decision-making method – case study: evaluation of Addis Ababa Light Rail Transit (AALRT) project’s track selection. In ICTE – Proceedings of 4th International Conference on Transportation Engineering, Chengdu, China, 19–20 October 2013, pp. 634–649.
- Sayyadi, G. and Awasthi, A., AHP-based approach for location planning of pedestrian zones: application in Montréal, Canada. J. Transp. Eng., 2013, 139, 239–246.
- He, H., Li, Y. and Zhang, Z., Scheme optimization of large-scale highway transport based on AHP – grey correlation degree. J. Highw. Transponation Res. Dev., 2016, 10, 98–102.
- Mousavi, M. S., Tavakkoli-Moghaddam, R., Heydar, M. and Ebrahimnejad, S., Multi-criteria decision making for plant location selection: an integrated Delphi–AHP–PROMETHEE methodology. Arab. J. Sci. Eng., 2013, 38, 1255–1268.
- Klodzinski, J. and Al-Deek, H. M., New methodology for defining level of service at toll plazas. J. Transp. Eng., 2002, 128, 173–181.
- Robinson, M. and Van Aerde, M., Examining the delay and environmental impacts of toll plaza characteristics. In Vehicle Navigation and Information System Conference (VNIS), Seattle, Washington, USA, 1995, pp. 259–266.
- Bari, C. S., Gupta, U., Chandra, S., Antoniou, C. and Dhamaniya, A., Examining effect of electronic toll collection (ETC) system on queue delay using microsimulation approach at toll plaza – a case study of Ghoti Toll Plaza, India. Present. 7th International IEEE Conference Modelling Technology Intell. Transp. Syst., 16–17 June 2021, pp. 1–6.
- Woo, H. T. and Hoel, L. A., Toll plaza capacity and level of service. Transp. Res. Rec. J. Transp. Res. Board, Washington, DC, 1991, 1320, 119–127.
- Al-Deek, H. M., Mohamed, A. A. and Radwan, A. E., Operational benefits of electronic toll collection: case study. J. Transp. Eng., 1997, 123, 467–477.
- Traffic operations at mainline toll plazas
Abstract Views :155 |
PDF Views:87
Authors
Affiliations
1 Department of Civil Engineering, SVNIT Surat, Surat 395 007, India
2 Department of Civil Engineering, IIT Roorkee, Roorkee 247 667, India
3 Department of Civil Engineering, NIT, Calicut 673 601, India
1 Department of Civil Engineering, SVNIT Surat, Surat 395 007, India
2 Department of Civil Engineering, IIT Roorkee, Roorkee 247 667, India
3 Department of Civil Engineering, NIT, Calicut 673 601, India
Source
Current Science, Vol 123, No 6 (2022), Pagination: 754-766Abstract
Most projects across the world are built under the public–private partnership (PPP) module. In the high-way sector, the highway projects are built by the con-cessioner, and in lieu of that, he generates revenue by collecting tolls from road users. The toll plazas built across the highways to collect tolls act as a bottleneck in highway facilities. Although the toll collection sys-tem has been improved worldwide, users are still expe-riencing an enormous delay at toll plazas due to congestion, especially in developing countries like India. This congestion is caused due to various factors such as long service time, an inadequate number of windows, traffic volume, categories of toll rates, etc., which lead to delay, degradation of capacity, and level of service. Different researchers in their countries have analysed all these factors. The present article gives a detailed literature review summarizing various studies on the different parameters related to toll plazas and proposes research gaps from the perspective of developing coun-tries. The challenges and methodology for evaluating various parameters are also discussed, and a way for-ward for future research is suggested.Keywords
Capacity, level of service, mixed traffic, toll collection, toll plaza.References
- Bari, C., Navandar, Y. and Dhamaniya, A., Service time variation analysis at manually operated toll plazas under mixed traffic condi-tions in India. J. East. Asia Soc. Transp. Stud., 2019, 13, 331–350.
- Bodas, T., Ganesh, A. and Manjunath, D., Pigouvian tolls and wel-fare optimality with parallel servers and heterogeneous customers. J. Indian Inst. Sci., 2021, 101(3), 1–12.
- Bari, C. S., Chandra, S., Dhamaniya, A., Arkatkar, S. and Navandar, Y. V., Service time variability at manual operated tollbooths under mixed traffic environment: towards level-of service thresholds. Transp. Policy, 2021, 106, 11–24.
- Indian Roads Congress (IRC): SP: 84, Manual of Specifications and Standards for Four Lanning of Highways (Second Revision), 2019, pp. 1–219.
- Indo-HCM, Indian Highway Capacity Manual (Indo-HCM), CSIR-Central Road Research Institute, New Delhi, 2017.
- IRC-65, Recommendation practice for traffic rotaries. Indian Road Congress, New Delhi, 1976.
- HCM, Highway capacity manual. Transp. Res. Board, Natl. Res. Counc., Washington, DC, 2010, pp. 1–1207.
- Woo, H. T. and Hoel, L. A., Toll plaza capacity and level of service. Transp. Res. Rec. J. Transp. Res. Board, Washington, DC, 1991, 1320, 119–127.
- Navandar, Y. V., Dhamaniya, A. and Patel, D. A., A quick method for estimation of level of service at manually operated tollbooths under mixed traffic conditions. Transp. Res. Procedia, 2020, 48, 3107–3120.
- Navandar, Y. V., Bari, C., Dhamaniya, A. and Patel, D. A., Analy-sis of level of service for manually operated tollbooths under mixed traffic scenario. J. East. Asia Soc. Transp. Stud., 2019, 13, 1648–1663.
- Klodzinski, J., Al-deek, H. M. and Asce, M., New methodology for defining level of service at toll plazas. J. Transp. Eng., 2002, 128, 173–181.
- Russo, C., Harb, R. and Radwan, E., Calibration and verification of SHAKER, a deterministic toll plaza simulation model. J. Transp. Eng. ASCE, 2010, 136, 85–92.
- Navandar, Y. V., Bari, C. S., Dhamaniya, A., Arkatkar, S. and Patel, D. A., Investigation on the determinants of service headway varia-bility at tollbooths under mixed traffic scenario in emerging coun-tries. Curr. Sci., 2021, 121, 148–160.
- Deshmukh, M., Navandar, Y. V. and Dhamaniya, A., Statistical distribution analysis of clearance time at manually operated toll plazas under mixed traffic conditions. Proc. East. Asia Soc. Transp. Stud., 2019, 12, 1–19.
- Lin, F. B. and Lin, M. W., Modeling traffic delays at northern New York border crossings. J. Transp. Eng. ASCE, 2001, 127, 540–545.
- Busam, A. K., Optimization of Waiting Time at Toll Plazas, Florida International University, Miami, Florida, 2005.
- Kitchenham, B., Procedures for Performing Systematic Reviews, Joint Technical Report, 2004, pp. 1–28.
- Moher, D., Liberati, A., Tetzlaff, J. and Altman, D. G., Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ, 2009, 339, 332–336.
- Liberati, A. et al., The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare inter-ventions: explanation and elaboration. BMJ, 2009, 339, 1–27.
- Page, M. J. et al., The PRISMA 2020 statement: An updated guide-line for reporting systematic reviews. Syst. Rev., 2021, 88, 1–11.
- VOSviewer – Visualizing scientific landscapes; https://www.vos- viewer.com/ (accessed on 1 August 2022).
- Edie, L. C., Traffic delay at toll booths. J. Oper. Res. Soc. Am., 1954, 2, 107–138.
- Schaufler, A. E., National Cooperative Highway Research Program (NCHRP) Synthesis 240 – Toll Plaza Design. Transportation Re-search Board, Washington, DC, 1997, pp. 1–113.
- Zarrillo, M. L., Capacity calculation for two toll facilities: two ex-periences in ETC implementation. In 79th Annual Meeting Trans-portation Research Board, 2000, pp. 1–11.
- Aycin, M. F., A simple methodology for evaluating toll plaza oper-ations. In 85th Transportation Research Board Annual Meeting, Washington, DC, 2006, pp. 1–25.
- Li, Y., The analysis of highway toll station ETC lane capacity. ICTE, 2013, 966–972.
- Indian Roads Congress (IRC) SP: 84, Manual of Specifications and Standards for Four Lanning of Highways through Public Private Partnership, IRC, New Delhi, 2014.
- Navandar, Y. V., Dhamaniya, A., Patel, D. A. and Chandra, S., Traffic flow analysis at manual tollbooth operation under mixed traffic conditions. J. Transp. Eng. Part A Syst. ASCE, 2019, 145, 1–17.
- Bari, C. S., Kumawat, A. and Dhamaniya, A., Effectiveness of FASTag system for toll payment in India. Present. In 7th Interna-tional IEEE Conference on Models and Technology for Intelligent Transportation System, 16–17 June 2021, pp. 1–6.
- Liu, X., Yun, M. and Yang, X., Lane Capacity Estimation and Level of Service Evaluation for Freeway Toll Plazas based on Transac-tion data. In 97th TRB Annual Meeting, Transportation Research Board, Washington, DC, 2018, pp. 1–8.
- Lin, F.-B. and Su, C.-W., Level of service analysis of toll plazas on freeway main lines. J. Transp. Eng., 1994, 120, 246–263.
- Gulewicz, V. and Danko, J., Simulation-based approach to evaluat-ing optimal lane staffing requirements for toll plazas. Transp. Res. Rec. J. Transp. Res. Board, 1995, 1484, 33–39.
- Obelheiro, M. R., Cybis, H. B. B. and Ribeiro, J. L. D., Level of service method for Brazilian Toll Plazas. Procedia – Soc. Behav. Sci., 2011, 16, 120–130.
- Klodzinski, J. and Al-Deek, H. M., New methodology for defining level of service at toll plazas. J. Transp. Eng., 2002, 128, 173– 181.
- Chakroborty, P., Gill, R. and Chakraborty, P., Analysing queueing at toll plazas using a coupled, multiple-queue, queueing system model: application to toll plaza design. Transp. Plan. Technol. Tay-lors Fr., 2016, 1060, 18.
- Osborne, R. P., Implementing Toll Plaza Analysis into Freeplan, University of Florida, Gainesville, 2012.
- Jun-Long, C., Research on method for determining ETC channel capa-city and service level. J. Highw. Transp. Res. Dev. ASCE, 2015, 9, 90–95.
- Navandar, Y. V., Singh, M., Dhamaniya, A. and Patel, D. A., Em-pirical analysis of level of service at toll plaza by using ordered probit model. Transp. Lett., 2019, 12(10), 692–700.
- HCM, Highway capacity manual: a guide for multimodal mobility analysis. Transportation Research Board, National Research Coun-cil, Washington DC, 2016.
- Highway Capacity Manual for Taiwan Area Inst. Transp. Minist. Transp. Commun., Taipei, Taiwan, 1988.
- Benekohal, R. F. and Zhao, W., Delay-based passenger car equiva-lents for trucks at signalized intersections. Transp. Res. Part A, 2000, 34, 437–457.
- Abou-Senna, H., Congestion pricing strategies to investigate the potential of route diversion on toll facilities using en-route guid-ance. J. Traffic Transp. Eng. (English Ed.), 2016, 3, 59–70.
- Gruyer, D., Orfila, O., Glaser, S., Hedhli, A. and Alonso, F., Are connected and automated vehicles the silver bullet for future trans-portation challenges? benefits and weaknesses on safety, consump-tion, and traffic congestion. Front. Sustain. Cities, 2021, 2, 1–24.
- Shelton, J., Wagner, J., Samant, S., Goodin, G., Lomax, T. and Seymour, E., Impacts of connected vehicles in a complex, congest-ed urban freeway setting using multi-resolution modeling methods. Int. J. Transp. Sci. Technol., 2019, 8, 25–34.
- Morita, T. and Managi, S., Autonomous vehicles: willingness to pay and the social dilemma. Transp. Res. Part C, 2020, 119, 102748.
- Wang, J., Lu, L., Peeta, S. and He, Z., Optimal toll design pro-blems under mixed traffic flow of human-driven vehicles and con-nected and autonomous vehicles. Transp. Res. Part C, 2021, 125, 102952.
- Wu, W., Zhang, F., Liu, W. and Lodewijks, G., Modelling the traf-fic in a mixed network with autonomous-driving expressways and non-autonomous local streets. Transp. Res. Part E, Logist. Transp. Rev., 2020, 134, 101855.
- Yu, B. and Mwaba, D., Toll plaza lane choice and lane configura-tion strategy for autonomous vehicles in mixed traffic. J. Transp. Eng. Part A, Syst. ASCE, 2020, 146, 1–11.
- Al-Deek, H. M., Radwan, A. E., Mohammed, A. A. and Klodzinski, J. G., Evaluating the improvements in traffic operations at a real-life toll plaza with electronic toll collection. ITS J. – Intell. Transp. Syst., 1996, 3, 37–41.
- Polus, A. and Reshetnik, I., A new concept and a manual for toll plaza planning. Can. J. Civ. Eng., 1997, 24, 532–538.
- Al-Deek, H. M., Mohamed, A. A., and Radwan, A. E., Operational benefits of electronic toll collection: case study. J. Transp. Eng., 1997, 123, 467–477.
- Polus, A., Methodology and simulation for toll plaza analysis. Road Transp. Res., 1996, 5, 44–68.
- Boronico, J. S. and Siegel, P. H., Capacity planning for toll road-ways incorporating consumer wait time costs. Transp. Res. Part A, 1998, 32, 297–310.
- McDonald, D. R. and Stammer, R. E., Contribution to the develop-ment of guidelines for toll plaza design. J. Transp. Eng. ASCE, 2001, 127, 215–222.
- Astarita, V., Florian, M. and Musolino, G., A microscopic traffic simulation model for the evaluation of toll station systems. In IEEE Conference on Intelligence Transportation Systems, Proceedings, ITSC, 2001, 692–697.
- Perry, R. F. and Gupta, S. M., Response surface methodology ap-plied to toll plaza design for the transition to electronic toll collec-tion. Int. Trans. Oper. Res., 2001, 8, 707–726.
- Al-Deek, H. M., Analyzing performance of ETC plazas using new computer software. J. Comput. Civ. Eng., 2001, 15, 309–319.
- Lin, F., Delay model for planning analysis of main-line toll plazas. Transp. Res. Rec. J. Transp. Res. Board, Washington, DC, 2001, 1776, 69–74.
- Klodzinski, J. and Al-Deek, H. M., Transferability of a stochastic toll plaza computer model. Transp. Res. Rec., 2002, 1811(1), 40–49.
- Zarrillo, M. L., Radwan, A. E. and Dowd, J. H., Toll network capa-city calculator operations management and assessment tool for toll network operators. Transp. Res. Rec., 2002, 1781, 49–55.
- Al-Deek, H. M., Mohamed, A. A. and Malone, L., A new stochas-tic discrete-event micro simulation model for evaluating traffic ope-rations at electronic toll collection plazas. J. Intell. Transp. Syst. Technol. Planning, Oper., 2005, 9, 205–219.
- Upchurch, J., Service times and capacity at National Park entrance stations. Transp. Res. Rec. J. Transp. Res. Board, 2006, 1981, 160–170.
- Zarrillo, M. L. and Radwan, E. A., Methodology SHAKER and the capacity analysis of five toll plazas. J. Transp. Eng., 2009, 135, 83–93.
- Kim, S., The toll plaza optimization problem: design, operations, and strategies. Transp. Res. Part E, 2009, 45, 125–137.
- Shitama, T., Horiguchi, R., Akahane, H. and Xing, J., Traffic simu-lation for expressway toll plaza based on successive vehicle track-ing data. In Transport Simulation: Beyond Traditional Approaches, 2009, chapter 11, pp. 1–28.
- Kim, B. J., Conceptualization of traffic flow for designing toll plaza configuration: a case study using simulation with estimated traffic volume. Int. J. Ind. Eng., 2011, 18, 51–57.
- Gugol, L. M., Izawa, T. and Gueta, G., Evaluation of Philippines’ electronic toll collection system for North Luzon Expressway. J. East. Asia Soc. Transp. Stud., 2013, 10, 1701–1719.
- Bains, M. S., Arkatkar, S. S., Anbumani, K. S. and Subramaniam, S., Optimizing and modeling toll way operations using microsimu-lation case study, Sanand Toll Plaza, Ahmedabad, Gujarat, India. Transp. Res. Rec. J. Transp. Res. Board, 2017, 2615, 43–54.
- Chang, J., Lai, K. and Wang, B., The design model of freeway toll collection. In Proc. 16th Int. Symp. Distrib. Comput. Appl. to Business, Eng. Sci. DCABES 2017, 2017, 2018-Septe, pp. 195–198.
- Zhang, C., He, J., Wu, J., Zhang, H., Liu, Z. and Xing, L., The analysis of ETC lane allocation in a toll collection station based on micro traffic simulation. In APCIM ICTTE 2018 Proc. Asia-Pacific Conf. Intell. Med. 2018 Int. Conf. Transp. Traffic Eng., 2018, pp. 161–166.
- Talavirya, A. and Laskin, M., Using of discrete-event modeling in throughput capacity analysis of a toll plaza at the exit of the inter-urban toll road. In 32nd European Modeling and Simulation Sym-posium, EMSS 2020, 2020, pp. 227–234.
- Inacio, P. P. A., Leal, F. and Lima, J. P., Evaluation of the service level of a highway toll plaza in Brazil using computational simula-tion. In 97th Annual Meeting of the Transportation Research Board, Washington DC, 1 January to 8 January 2018.
- Navandar, Y. V., Dhamaniya, A. and Patel, D. A., Empirical analy-sis of level of service based on users perception at manual tollbooth operation in India. Transp. Res. Procedia, 2019, 37, 314–321.
- Zhong, L., Zhou, Y. and Wu, K., Analysis of level of service of toll lane allocation of Hong Kong–Zhuhai–Macao bridge. CICTP Safe, Smart, Sustain. Multimodal Transp. Syst., 2014, 1863–1870.
- Poon, N. and Dia, H., Evaluation of toll collection performance using traffic simulation. In 27th Conference of Australian Institutes of Transport Research (CAITR 2005), Brisbane, 7–9 December 2005, pp. 1–20.
- Van-Dijk, N. M. V., Hermans, M. D., Teunisse, M. J. G. and Schuurman, H., Designing the westerscheldetunnel toll plaza using a combination of queueing and simulation. In Proceedings of the 1999 Winter Simulation Conference, 1999, pp. 1272–1279.
- Pursula, M., Simulation of traffic systems – an overview. J. Geogr. Inf. Decis. Anal., 1999, 3, 1–8.
- Kim, C., Kim, D. K., Kho, S. Y., Kang, S. and Chung, K., Dynamically determining the toll plaza capacity by monitoring approaching traffic conditions in real-time. Appl. Sci., 2016, 6.
- Transport-Scotland, Road Geometry-Highway Features. In Design Manual for Roads and Bridges, Department for Regional Develop-ment, Northern Ireland, 2008.
- Grabau, S. and Hewapathirana, I., Simulation analysis of an expressway toll plaza. Proc. – Int. Res. Conf. Smart Comput. Syst. Eng. SCSE 2021, 2021, 4, 223–229.
- Levinson, D. and Chang, E., A model for optimizing electronic toll collection systems. Transp. Res. Part A, 2003, 37, 293–314.
- Evaluation of Fixation and Reaction Gaze Points Near Speed Humps on Urban Roads in India
Abstract Views :83 |
PDF Views:70
Authors
Affiliations
1 CSIR-Central Road Research Institute, Delhi–Mathura Road, New Delhi 110 025, India., IN
1 CSIR-Central Road Research Institute, Delhi–Mathura Road, New Delhi 110 025, India., IN
Source
Current Science, Vol 124, No 2 (2023), Pagination: 245-252Abstract
Isolated speed humps are extensively used as speed-calming measures for motorized vehicles of different categories on urban roads. Most urban roads in India are provided with either a trapezoidal or circular speed hump based on the road category. The height of these humps influences the per cent reduction of speed at the crown of the hump. It has been observed that passenger motorized vehicles do not reduce their speeds before a speed hump, even when it is large. The objective of this study was to evaluate the driver perception and reaction distance near a speed hump and thereby examine the sensitivity of these parameters on the drivers of different age groups. For this, drivers of different ages (a total sample size of five subjects) were considered for real-time eye-tracking experiments. The experimental results of all subjects’ eye tracking images were examined in this study. The visit duration or dwell time for an area of interest (AOI) was estimated and compared among various drivers. The speed data were also collected using a velocity-box along with eye-tracking data of each driver at the identified location. The collected eye-tracking experimental data were analysed using statistical techniques. Regression analysis between vehicular speed and fixation count was performed. It was observed that the power model was the best fit for the collected data. The visualization data helped to reveal the characteristics of fixation and reaction gaze points near the identified speed humps. The study results showed that driver attention was double when vehicle located between 0 and 20 m than 20 and 40 m from the speed hump. Drivers in the age group between 20 and 25 years had 48% AOI of visit duration, while for those in the age group between 30 and 40 years, it was 67%.Keywords
Eye Tracker, Gaze Plots, Heat Maps, Regression Analysis, Speed Hump, Urban Roads.References
- GoI, Road accidents in India. Ministry of Road Transport and Highways, Transport Research Wing, New Delhi, 2020.
- Zainuddin, N., Md Diah, J., Adan, M. and Sulaiman, N., The opti-mization of speed hump design: a case study in Malaysia residential streets. In IEEE Colloquium on Humanities, Science and Engineering (CHUSER), Kota Kinabala, IEEE, Piscataway, NJ, USA, 2012, pp. 368–387.
- Chandra, S., Ravi Sekhar, Ch. and Ruhina Behum, Md, Optimum design of speed hump based on empirical data. In Transportation Research Board, Annual Meeting, 2019, Paper ID 19-04082.
- Bie, Y., Wang, L., Wang, D. and Ma, D., A signal coordination algo-rithm for two adjacent intersections based on approximate dynamic programming. J. Southeast Univ. (Engl. Edn), 2012, 28(1), 112–118.
- Zhao, X., Ding, H., Rong, J. and Mao, K., The effects of highway curves on driver gazing behavior in a driving simulator. In 11th Interna-tional Conference of Chinese Transportation Professionals, 2011; doi:10.1061/41186(421)233.
- Chen, E., Guan, H., Yan, H. and Xu, Z., Drivers’ visual behavior under various traffic conditions. In International Conference of Chinese Transportation Professionals, Central Road Research Insti-tute, 2011; doi:10.1061/41186(421)183.
- Qi, W., Wen, H. and Wu, Y., Evaluation trend of driver’s visual characteristics under traffic congestion. In 15th COTA International Conference on Transportation Professionals CICTP 2015; doi:10. 1061/9780784479292.256.
- Liu, Zhuo-Fan, Fu, R. and Lan, Z., The comparison between visual distraction and cognitive distraction. In Sixteenth COTA International Conference of Transportation Professionals, Transportation Research Board Institute of Transportation Engineers, American Society of Civil Engineers, USA, 2016.
- Yeo, J., Cho, J., Lee, H., Kim, D. and Jang, K., Observations and experiment of driving behaviors near speed hump and speed tables. In Transportation Research Board, 96th Annual Meeting, Washing-ton DC, USA, 2017.
- Ren, Y. Y., Li, X. S. and Zheng, X. L., Study on driver attention allo-cation under common driving behaviours. In 18th COTA International Conference of Transportation Professionals 2018, American Society of Civil Engineers, Reston, VA, USA, 2018, pp. 1743–1752.
- Lijarcio, I., Useche, S. A., Llamazares, J. and Montoro, L., Are your eyes ‘on the road’. Finding from the 2019 national study on vision and driving safety in Spain. Int. J. Environ. Res. Public Health, 2020, 17; doi:10.3390/ijerph17093195.
- Peregrina, S. O., Ortiz, C., Casares-López, M., Castro-Torres, J., Jiménez del Barco, L. and Anera, R. G., Impact of age-related vision changes on driving. Int. J. Environ. Res. Public Health, 2020, 17(20), 7416; doi:10.3390/ijerph17207416.
- Gené-Sampedro, A., Alonso, F., Sánchez-Ramos, C. and Useche, S. A., Comparing oculomotor efficiency and visual attention between drivers and non-drivers through the adult developmental eye move-ment (ADEM) test: a visual–verbal test. PLoS ONE, 2021, 16(2), e0246606; https://doi.org/10.1371/journal.pone.0246606.
- Van Gerven, P. W. M., Paas, F. G., Van Merriënboer, J. J. G. and Schmidt, H. G., Cognitive load theory and aging: effects of worked examples on training efficiency. Learn. Instruct., 2002, 12(1), 87–105.
- Engström, J., Markkula, G., Victor, T. and Merat, N., Effects of cognitive load on driving performance: the cognitive control hypo-thesis. Hum. Factors, 2017, 59(5), 734–764.
- Salvucci, D. D. and Gray, R., A two-point visual control model of steering. Perception, 2004, 33(10), 1233–1248.
- Wilkie, R. M. and Wann, J. P., Eye-movements aid the control of locomotion. J. Vis., 2003, 3(11), 3.
- Recarte, M. A. and Nunes, L. M., Mental workload while driving: effects on visual search, discrimination, and decision making. J. Exp. Psychol. Appl., 2003, 9(2), 119.
- Victor, T. W., Harbluk, J. L. and Engström, J. A., Sensitivity of eye-movement measures to in-vehicle task difficulty. Transp. Res. Part F, 2005, 8(2), 167–190.
- Qin, L., Dong, L., Xu, W., Zhang, L. and Leon, S. A., Influence of vehicle speed on the characteristics of driver’s eye movement at a highway tunnel entrance during day and night conditions: a pilot study. Int. J. Environ. Res. Public Health, 2018, 15(4), 656; https:// doi.org/10.3390/ijerph15040656.
- Alonso, F., Faus, M., Esteban, C. and Useche, S. A., Is there a pre-disposition towards the use of new technologies within the traffic field of emerging countries? The case of the Dominican Republic. Electronics, 2021, 10(10), https://www.mdpi.com/2079-9292/10/ 10/1208.
- IRC, Indian Roads Congress Manual on Guidelines for Traffic Calming Measures in Urban and Rural Areas, IRC: 99-2018, Indian Roads Congress, New Delhi, 2018.