| With the acceleration of urbanization in China,the problem of urban traffic is becoming more and more prominent,and the problem of urban traffic congestion is particularly prominent.Traffic management and traffic guidance have become the key means to alleviate traffic congestion,and the key to traffic management and traffic guidance is the behavior characteristics of the travelers.Therefore,it is necessary to focus on the traveler’s travel choice behavior habits when making traffic management and traffic guidance strategies.In this paper,from the perspective of travel time reliability and travel value perception,the traveler’s travel choice behavior is analyzed and modeled.First,the value of different travel modes and travel routes is analyzed.Based on the framework of the prospect theory,combined with generalized travel cost model,it can reflect the advantages of many factors to travelers,the subjective value function in prospect theory is improved.The traveler’s value perception model,which can respond to three factors,travel time,travel cost and travel comfort,is established.On the basis of studying the value of travel comfort,the comfort degree selection probability based on ordered choice model is obtained by grading the comfort degree,and the comfort perception value function is constructed.Secondly,based on the related research of travel time reliability,in order to analyze the effect of different traffic conditions of travel choice behavior,a probability model of travel time based on road unit,and the method of calculating the subjective probability weight by the probability function of travel time is proposed.Thus,a trip selection model based on travel time reliability and value perception is established.Finally,based on the actual road network traffic investigation and design calculation example analysis,the difference of future value of travel choice schemes under different travel demand and different traffic operation conditions is compared and analyzed.The conclusion is consistent with the traveler’s travel habits in the actual traffic,which indicates that the proposed model and the algorithm are effective. |
