A Multiagent Simulation for Traffic Flow Management with Evolutionary Optimization

TL;DR

This paper introduces an evolutionary optimization approach combined with a multiagent simulation to improve traffic light configuration, aiming to enhance traffic flow management in urban areas.

Contribution

It presents a novel integration of evolutionary algorithms with multiagent simulation for optimizing traffic light settings.

Findings

Preliminary results show promising improvements in traffic flow.

The method provides a flexible framework for traffic management optimization.

Abstract

A traffic flow is one of the main transportation issues in nowadays industrialized agglomerations. Configuration of traffic lights is among the key aspects in traffic flow management. This paper proposes an evolutionary optimization tool that utilizes multiagent simulator in order to obtain accurate model. Even though more detailed studies are still necessary, a preliminary research gives an expectation for promising results.