Latest revision as of 04:12, 2 February 2021

Abstract

Several factors influence traffic congestion and overall traffic dynamics. Simulation modelling has been utilized to understand the traffic performance parameters during traffic congestions. This paper focuses on driver behavior of route selection by differentiating three distinguishable decisions, which are shortest distance routing, shortest time routing and less crowded road routing. This research generated 864 different scenarios to capture various traffic dynamics under collective driving behavior of route selection. Factors such as vehicle arrival rate, behaviors at system boundary and traffic light phasing were considered. The simulation results revealed that shortest time routing scenario offered the best solution considering all forms of interactions among the factors. Overall, this routing behavior reduces traffic wait time and total time (by 69.5% and 65.72%) compared to shortest distance routing.

Original document

The different versions of the original document can be found in:

• http://arxiv.org/pdf/1907.00450

• http://xplorestaging.ieee.org/ielx7/8977453/9004651/09004870.pdf?arnumber=9004870,

http://dx.doi.org/10.1109/wsc40007.2019.9004870

• https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-00450,

https://www.preprints.org/manuscript/201907.0270/v1/download,

https://www.preprints.org/manuscript/201907.0270/v1,

https://academic.microsoft.com/#/detail/3007497312