An OvS-MultiObjective Algorithm Approach for Lane Reversal Problem

TL;DR

This paper presents an optimization-based methodology using a multi-objective genetic algorithm combined with traffic simulations to determine optimal lane reversal configurations for reducing traffic congestion.

Contribution

It introduces a novel approach integrating genetic algorithms with traffic simulation for multi-objective lane reversal optimization.

Findings

Effective lane reversal configurations identified

Reduction in traffic congestion demonstrated

Method outperforms traditional approaches

Abstract

The lane reversal has proven to be a useful method to mitigate traffic congestion during rush hour or in case of specific events that affect high traffic volumes. In this work we propose a methodology that is placed within optimization via Simulation, by means of which a multi-objective genetic algorithm and simulations of traffic are used to determine the configuration of ideal lane reversal.