Multi-Objective Optimization of Freeway Network Traffic Flow Using Particle Swarm Optimization

Abstract:

A multi-objective optimization problem of ramp metering and dynamic route guidance is presented. The problem domain, a freeway integration control application considers the efficiency and equity of system, is formulated as a multi-objective optimization problem. The Gini coefficient is adopted in this study as an indicator of equity. The control strategy’s effect is demonstrated through its application to the simple freeway network. Analyses of simulation results using this approach show the equity of the system have a significant improvement over traditional control, especially for the case of large traffic demand. Using the multi-objective optimization approach, the Gini coefficient of the network has been reduced by 55% compared to traditional method.

• Periodical: Applied Mechanics and Materials (Volumes 713-715)
• Pages: 1777-1781
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.713-715.1777
• Online since: January 2015
• Authors: Kai Ge Wen*
• Keywords: Freeway Network, Multi-Objective Optimization (MOP), Particle Swarm Optimization (PSO), Traffic Control

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