Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Delay Models for Various Lane Assignments at Signalised Intersections in Heterogeneous Traffic Conditions

Delay Models for Various Lane Assignments at Signalised Intersections in Heterogeneous Traffic... In emerging countries like India, congestion and delays are acute problems at signalized intersections due to the complex flow pattern of vehicular traffic with varying static and dynamic characteristics. The objective of the present study is to develop delay models for different lane assignments with variable proportions of right-turning vehicles (RTV) (10–50%) and heavy vehicles (HV) (0–12%). Traffic data were collected at five signalized intersections using a videography technique. Models were constructed with the data from four signalized intersections and were validated using data from the fifth intersection. Four-lane assignment models were created using the SIDRA Intersection software. In model-1, the median side lane (lane 1) was exclusively assigned for RTV, whereas in model-2, lane 1 was assigned for through heavy vehicles (THV) and RTV. In model-3, lane 1 was exclusively allotted for RTV, and lane 2 was assigned for through vehicles (TV) and right turn light vehicles. In model-4, both lanes 1 and 2 were assigned for either TV or RTV. Simulation results of all the models showed that the delays increase as the proportion of HV increases. Models 1 and 3 indicated that significant decrease in the delays with rising RTV proportions. In contrast, model 2 revealed negligible variations in the delays with a rise in RTV up to 40%, beyond which the delays followed a rising pattern. Multi-linear regression analysis was used to develop the delay models. When models 2 & 4 were compared to the Indo-HCM model at different volume–capacity (v/c) ratios, the maximum variation was observed at volume–capacity (v/c) ratio ≈ 1, and analogous results were obtained when 0.85 < v/c > 1.15. All the models exhibited a good correlation with the variables (R2 > 0.85) and were statistically significant (p < 0.05). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of The Institution of Engineers (India):Series A Springer Journals

Delay Models for Various Lane Assignments at Signalised Intersections in Heterogeneous Traffic Conditions

Loading next page...
 
/lp/springer-journals/delay-models-for-various-lane-assignments-at-signalised-intersections-6VPFUC8J77
Publisher
Springer Journals
Copyright
Copyright © The Institution of Engineers (India) 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreementwith the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
2250-2149
eISSN
2250-2157
DOI
10.1007/s40030-022-00673-x
Publisher site
See Article on Publisher Site

Abstract

In emerging countries like India, congestion and delays are acute problems at signalized intersections due to the complex flow pattern of vehicular traffic with varying static and dynamic characteristics. The objective of the present study is to develop delay models for different lane assignments with variable proportions of right-turning vehicles (RTV) (10–50%) and heavy vehicles (HV) (0–12%). Traffic data were collected at five signalized intersections using a videography technique. Models were constructed with the data from four signalized intersections and were validated using data from the fifth intersection. Four-lane assignment models were created using the SIDRA Intersection software. In model-1, the median side lane (lane 1) was exclusively assigned for RTV, whereas in model-2, lane 1 was assigned for through heavy vehicles (THV) and RTV. In model-3, lane 1 was exclusively allotted for RTV, and lane 2 was assigned for through vehicles (TV) and right turn light vehicles. In model-4, both lanes 1 and 2 were assigned for either TV or RTV. Simulation results of all the models showed that the delays increase as the proportion of HV increases. Models 1 and 3 indicated that significant decrease in the delays with rising RTV proportions. In contrast, model 2 revealed negligible variations in the delays with a rise in RTV up to 40%, beyond which the delays followed a rising pattern. Multi-linear regression analysis was used to develop the delay models. When models 2 & 4 were compared to the Indo-HCM model at different volume–capacity (v/c) ratios, the maximum variation was observed at volume–capacity (v/c) ratio ≈ 1, and analogous results were obtained when 0.85 < v/c > 1.15. All the models exhibited a good correlation with the variables (R2 > 0.85) and were statistically significant (p < 0.05).

Journal

Journal of The Institution of Engineers (India):Series ASpringer Journals

Published: Dec 1, 2022

Keywords: Signalized intersection; Approach delay; Lane assignments models; SIDRA intersection software

References