Urban Road Network Optimization Based On The Coupling Between Road Network And Inhabitant Trip Distribution

With the acceleration of urbanization process and the rapid development of urban economy,urban traffic situation is becoming increasingly tense,urban traffic congestion,residents travel inconvenience and series of traffic problems have become increasingly prominent.In recent years,urban road network optimization as an effective means to improve the resource utilization of the road has become a hot research by domestic and foreign experts and scholars.The coupling imbalance between urban road network and inhabitant trip distribution is one of the root causes of urban traffic congestion.Therefore,only the coupling relationship between urban road network and inhabitant trip distribution is accurately grasped and effectively evaluated in the urban road network optimization process,so as to fundamentally solve the problem of urban traffic congestion and improve the utilization of road resources.When optimizing urban road network,previous studies considered less the coupling between road network and inhabitant trip distribution.Starting from the coupling mechanism between urban road network and inhabitant trip distribution,coupling model is established to quantify the coupling relationship between urban road network and inhabitant trip distribution,and the thought of coupling model is considered in the optimization of urban road network.By using the coupling degree of road network and inhabitant trip distribution as the constraint conditions,a bi-level programming model of urban road network is established,and designing a hybrid algorithm based on genetic algorithm and user equilibrium assignment algorithm.The main ideas are as follows:(1)The definition and connotation of the coupling between urban road network and inhabitant trip distribution are made clear,and the coupling mechanism,process and influencing factors are summarized.(2)By analyzing the relationship between the supply of urban road network and the inhabitant trip distribution,the coupling model of urban road network and inhabitant trip distribution is established,so as to analyze the matching degree of road network structure and OD distribution.(3)By using the coupling degree of road network and inhabitant trip distribution as the constraint conditions,a bi-level programming model with non-budget constraints of urban road network is established,in which the upper level is the minimum of system total travel time and total investment amount,the lower level is a standard user equilibrium assignment,and a hybrid algorithm based on genetic algorithm and user equilibrium assignment algorithm is used to the model.Finally,the practicability and validity of the proposed model is verified by a numerical example.In this paper,the research of urban road network optimization based on the coupling between road network and inhabitant trip distribution will not only help transport planners to accurately grasp the mechanism of the coupling between traffic supply and demand,find out the crux of the traffic congestion,so as to develop effective traffic management strategies,but also can achieve the maximum of urban road network transport efficiency and utilization of road resources,improve convenience and accessibility of residents travel.The research results have important theoretical and practical guiding significance for the mitigation of urban congestion problems.