Analysis of Driver Behaviour in Dilemma Zone at Signalized Intersection Under Heterogeneous Traffic

2021 ◽  
pp. 53-63
Author(s):  
Ayushi V. Shah ◽  
Pinakin N. Patel ◽  
L. B. Zala ◽  
A. A. Amin
Keyword(s):  
Heterogeneous Traffic ◽  
Signalized Intersection ◽  
Driver Behaviour ◽  
Dilemma Zone

scholarly journals Driver behaviour modelling of vehicles at signalized intersection with heterogeneous traffic

2021 ◽  
Author(s):  
Mohit Kumar Singh ◽  
Bharat Kumar Pathivada ◽  
K. Ramachandra Rao ◽  
Vedagiri Perumal
Keyword(s):  
Heterogeneous Traffic ◽  
Signalized Intersection ◽  
Driver Behaviour ◽  
Behaviour Modelling

Saturation Flow Model for Signalized Intersection under Mixed Traffic Condition

2018 ◽  
Vol 2672 (15) ◽  
pp. 55-65 ◽  
Author(s):  
Sabyasachi Biswas ◽  
Souvik Chakraborty ◽  
Indrajit Ghosh ◽  
Satish Chandra
Keyword(s):  
Conventional Method ◽  
Detailed Comparison ◽  
Heterogeneous Traffic ◽  
Signalized Intersection ◽  
Percentage Error ◽  
Mixed Traffic ◽  
Kriging Method ◽  
Traffic Condition ◽  
Saturation Flow ◽  
The Impact

Saturation flow is one of the most important functional parameters at signalized intersections. It is to be noted that saturation flow is a functional measure of the intersection operation, which indicates the probable capacity if working in an ideal situation. However, determination of the saturation flow is a challenging task in developing countries like India where vehicles with diverse static and dynamic characteristics use the same carriageway. At the same time, it is influenced by several other factors. In this context, the present research is carried out to examine the effects of traffic composition, approach width and right-turning movements on saturation flow under heterogeneous traffic conditions. This paper proposes a model for computing saturation flow at the signalized intersection under mixed traffic condition based on Kriging approach. A detailed comparison of the mean saturation flow values obtained by the conventional method, regression method, and Kriging method has also been presented. Low mean absolute percentage error values (<5%) have been obtained for saturation flow by Kriging method with respect to the conventional method. Finally, the proposed models are used to evaluate the impact of right-turning vehicles on saturation flow under shared lane condition.

QUANTITATIVE APPROACH TO DETERMINE PEDESTRIAN DELAY AND LEVEL OF SERVICE AT SIGNALIZED INTERSECTION

2018 ◽  
Vol 6 (1) ◽  
pp. 06-13
Author(s):  
Ammu Gopalakrishnan ◽  
Sewa Ram ◽  
Pradip Kumar Sarkar
Keyword(s):  
Empirical Model ◽  
Cycle Time ◽  
Quantitative Approach ◽  
Heterogeneous Traffic ◽  
Signalized Intersection ◽  
Level Of Service ◽  
Physical Parameters ◽  
Linear Regression Models ◽  
Traffic Conditions ◽  
Motorized Vehicles

Purpose: Level of Service is a widely adopted terminology to determine the efficiency of any transport system. From the literature it was studied that the multiple linear regression models established by many researchers to determine PLoS evolved with addition or removal of one or more physical parameters or with respect to the perception of users from different locations. At an intersection, there is little or no established methodology developed so far to determine a quantitative approach for PLoS similar to Vehicular Level of Service (VLoS). It was also pointed out that under heterogeneous traffic conditions, pedestrians are most vulnerable at intersections and they share the same space with motorized vehicles for crossing movements. Methodology: Thus, this study was built on the hypothesis that pedestrian delay of a signalized intersection is quantitatively dependent on pedestrian volume, vehicular volume and cycle time. Two signalized intersections operating as fully actuated and fixed cycle time were considered for study for period of four hours each, covering two hours of morning peak and off-peak hour traffic data. Main Findings: Using various statistical techniques, an empirical model was developed between the pedestrian delay and independent variables namely cycle time, pedestrian volume and vehicular volume. PLoS range was also determined through k-means clustering technique. Implications: The empirical model developed was validated and the application of this research was also explained. Novelty: The study is a new quantitative approach to determine PLoS and was limited to two intersections. Increase in the data may improve the accuracy of the model.

Field Evaluation of the Dilemma Zone Protection System at Suburban Intersections

2018 ◽  
Vol 2672 (21) ◽  
pp. 51-62 ◽  
Author(s):  
Sung Yoon Park ◽  
Chien-Lun Lan ◽  
Ranteg S. Rao ◽  
Gang-Len Chang
Keyword(s):  
Red Light ◽  
Field Evaluation ◽  
Protection System ◽  
Signalized Intersection ◽  
Red Light Running ◽  
Dilemma Zone ◽  
Effective Strategies ◽  
The Past ◽  
Intersection Safety ◽  
Arterial Traffic

Despite the fact that both traffic researchers and highway agencies have devoted considerable efforts over the past few decades to improving intersection safety, development of effective strategies to contend with this vital issue remains a challenging task. This research presents the field evaluation results of a Dilemma Zone Protection System (DZPS) implemented at two hazardous intersections in Maryland, U.S.A. The deployed DZPS can offer both proactive and reactive protections to drivers approaching a signalized intersection during a yellow phase. Field evaluations conducted at two intersections with DZPS deployed confirmed a 100% detection rate for red-light-running vehicles, timely activation of the all-red extension to prevent right-angle crashes, and effectively discouraging drivers from taking aggressive “pass” decisions during the yellow or all-red phases. The potential extension of the DZPS for speed harmonization on arterial traffic flows is also discussed.

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