Using an Agent‐Based Simulation to Evaluate the Performance of Control Algorithms for an Intelligent Traffic Light System

Abstract

AbstractThis paper examines a case study for using an agent‐based model to evaluate potential solutions to the ubiquitous problem of automobile traffic. The overall objective is to use simulations to evaluate the performance of intelligent traffic light system control algorithms to improve traffic flow along an entire section of highway. The approach uses an agent‐based modeling tool to simulate the flow of traffic using several different traffic control algorithms. The methodology includes steps to define the measures of effectiveness, simulation parameters, traffic control algorithms, and identify a simulation tool, followed by simulating the algorithms, and evaluating the performance results. Several alternative algorithms were evaluated including single‐intersection control and multi‐intersection synchronized flow. The initial results show a significant performance difference between the control algorithms. However, simulated traffic conditions need to be validated, along with further model refinements, before a final assessment of the algorithm performance can be made.