Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Delay Models for Various Lane Assignments at Signalised Intersections in Heterogeneous Traffic Conditions
https://orcid.org/http://orcid.org/0000-0001-9278-7354
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).
Delay Models for Various Lane Assignments at Signalised Intersections in Heterogeneous Traffic Conditions
https://orcid.org/http://orcid.org/0000-0001-9278-7354
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).
Delay Models for Various Lane Assignments at Signalised Intersections in Heterogeneous Traffic Conditions
https://orcid.org/http://orcid.org/0000-0001-9278-7354
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).
Delay Models for Various Lane Assignments at Signalised Intersections in Heterogeneous Traffic Conditions
J. Inst. Eng. India Ser. A
Borigarla, Barhmaiah (Autor:in) / Santhakumar, S. Moses (Autor:in)
Journal of The Institution of Engineers (India): Series A ; 103 ; 1041-1052
01.12.2022
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A new delay function for signalised intersections
| British Library Online Contents | 2008
Pedestrians at signalised intersections
| British Library Conference Proceedings | 1994
Urban Streets and Signalised Intersections Accident Prediction Models
| British Library Online Contents | 1996
Level of Service for Mixed Traffic at Signalised Intersections
| British Library Online Contents | 1996
Through kerbside lane utilisation at signalised intersections - some results from Auckland
| British Library Conference Proceedings | 2008