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Assessment of Level of Service for Urban Signalized Intersections in India


Affiliations
1 Department of Civil Engineering, National Institute of Technology, Hamirpur 177 005, India
2 CSIR-Central Road Research Institute, New Delhi 110 002, India
3 Department of Civil Engineering, Indian Institute of Technology- Roorkee, Roorkee 247 667, India
 

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.
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  • 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.


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  • Assessment of Level of Service for Urban Signalized Intersections in India

Abstract Views: 418  |  PDF Views: 129

Authors

Arpita Saha
Department of Civil Engineering, National Institute of Technology, Hamirpur 177 005, India
Satish Chandra
CSIR-Central Road Research Institute, New Delhi 110 002, India
Indrajit Ghosh
Department of Civil Engineering, Indian Institute of Technology- Roorkee, Roorkee 247 667, India

Abstract


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





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi9%2F1516-1521