Simulation Optimization for Urban Arterial Coordinate Control

Abstract:

The typical problems of traditional methods for urban arterial coordinate control such as input hypothesis, model establishment and Performance Indicators calculation were pointed out. An urban arterial coordinate control Simulation Optimization (SO) model and techniques were put forward in the paper, including the SO integrated framework and an Improved Genetic Algorithm (IGA) based Simulated Annealing Extending for offset optimization and the SO platform using the Visual Basic programming language and the Component Object Model (COM) interface based on micro simulation model VISSIM. A three-intersections VISSIM test bed was developed to evaluate the performance of the proposed SO-based arterial coordinate control in Huangxing road under the condition of optimization indicator was average delay. The results show that the fuel consumption, stop times and emission (NOx, CO) curve changing trend is similar with delay and there are no statistics differences for the offset optimization values under different optimization Indicators.