Discrete Event Simulation of Driver's Routing Behavior Rule at a Road Intersection

TL;DR

This study uses discrete event simulation to analyze driver route choice behaviors at intersections, revealing that shortest time routing significantly reduces traffic delays compared to other strategies.

Contribution

It introduces a simulation model capturing driver decision-making at intersections, comparing three routing strategies under various traffic conditions.

Findings

Shortest time routing reduces wait and total travel time by over 65%.

Simulation of 864 scenarios provides comprehensive insights into traffic dynamics.

Driver behavior significantly impacts traffic congestion and efficiency.

Abstract

Several factors influence traffic congestion and overall traffic dynamics. Simulation modeling 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.