Multi-objective optimization model and algorithm design of road network in tourist town

Abstract

To alleviate traffic congestion in tourist towns, we propose a method to optimize the road network design by combining the macro-traffic simulation software with the heuristic algorithm. Based on the characteristics of traffic flow in tourist towns, the problem of optimal design of tourism urban road network is transformed into a multi-objective optimization model. To seek the optimal balance point between traffic congestion management and road resource investment, a multi-objective optimization model is established to optimize the saturation system of each road section and minimize the investment cost. We use TransCAD simulation software and the user equilibrium model to distribute the traffic flow of the initial road network, then, design the model algorithm based on genetic algorithm, and at last, design Matlab algorithm program to solve the model. The optimal weight of the objective function is determined by multiple algorithm experiments and comparative analysis of the experimental results. The results of the numerical example show that the total saturation value of all sections in the road network decreases from 16.70 to 11.12, and the average saturation value of all sections in the road network decreases from 0.93 to 0.62. The saturation of optimized sections is stable in a reasonable range from 0.5 to 0.8. The overall road network saturation is significantly reduced and becomes more balanced, moreover, the cost of investment is more reasonable. Therefore, results of the study have certain guiding significance for the road network planning of new tourist towns.