4.4 Article

A Coordinated Traffic Control on Urban Expressways with Modified Particle Swarm Optimization

Journal

KSCE JOURNAL OF CIVIL ENGINEERING
Volume 21, Issue 2, Pages 501-511

Publisher

KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
DOI: 10.1007/s12205-017-1505-x

Keywords

coordinated traffic control; variable speed limit; particle swarm optimization; urban expressways; spatial and temporal constraints

Funding

  1. National Natural Science Foundation Project of China [91218301]

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A coordinated traffic control method on urban expressways is proposed, which combines ramp control and Variable Speed Limits (VSL). A modified Particle Swarm Optimization (PSO) algorithm is presented to implement the coordinated control. We employ a model predictive control schema to offer online control on expressways. With spatial and temporal constraints on speed limits values during optimization, the modified PSO algorithm aims to search the optimal control signals for the coordinated control method. Instead of continuous VSL values, discrete VSL signals are used, which is more applicable for practical expressway control. The objective function in this paper considers a weighted summation of total time spent and total travel distance, which balances the expressway traffic density and the traffic outflow. Simulation results verifies that the proposed approach has its applicability and a better control performance.

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