Open Access Open Access  Restricted Access Subscription Access

Evaluation of Fixation and Reaction Gaze Points Near Speed Humps on Urban Roads in India


Affiliations
1 CSIR-Central Road Research Institute, Delhi–Mathura Road, New Delhi 110 025, India., India
 

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.
User
Notifications
Font Size

  • 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.

Abstract Views: 273

PDF Views: 134




  • Evaluation of Fixation and Reaction Gaze Points Near Speed Humps on Urban Roads in India

Abstract Views: 273  |  PDF Views: 134

Authors

Satish Chandra
CSIR-Central Road Research Institute, Delhi–Mathura Road, New Delhi 110 025, India., India
Ravi Sekhar Chalumuri
CSIR-Central Road Research Institute, Delhi–Mathura Road, New Delhi 110 025, India., India
Kamini Gupta
CSIR-Central Road Research Institute, Delhi–Mathura Road, New Delhi 110 025, India., India
Neelima Chakrabarty
CSIR-Central Road Research Institute, Delhi–Mathura Road, New Delhi 110 025, India., India

Abstract


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





DOI: https://doi.org/10.18520/cs%2Fv124%2Fi2%2F245-252