Route Planning Of Intercity Multimodal Travel Based On Multi-objective Optimization

The demand of intercity travel has been increasing rapidly in recent years.There are many problems exist such as imbalanced distribution of passenger flow,difficulties on trip planning,though we have made significant headway in transportation system construction.Mobility as a Service(Maa S)provides a new solution for the problems of intercity travel.As one of the foundations,the improvement of intercity multimodal travel system and service is vital.However,there are still many problems in the current intercity multimodal travel system,such as insufficient consideration of multiple objectives in travel planning,the complex process of travel planning,and insufficient personalization of planning schemes.In terms of these problems,this paper studies the personalized path planning of intercity multimodal travel,which considers multiple influencing factors of intercity multimodal travel chain and residents’ intercity travel preferences.The structure and characteristics of intercity multimodal transportation system was comprehensively analyzed from intercity transportation system and inter-city transfer system,on the basis of the comparison between intercity multimodal travel and urban multimodal travel.And the method of supernetworks was introduced to build an intercity multimodal transportation network.Meanwhile,the influencing factors of intercity multimodal travel was researched systematically by the way of literature analysis,unstructured interview,expert discussion and questionnaire survey,which were respectively used for collection,expansion and refinement of the factors.Based on the network and the major influence factors,the multi-objective model of intercity multimodal travel planning is proposed considering travel time,travel cost,time reliability,comfort,and transfer convenience.To effectively solve the modal,this paper introduces a set of weight coefficients that can reflect individual travel preferences,to deal with the modal by linear weighting method,and design the corresponding solution algorithm.At the same time,an individual travel preference mining method based on historical travel data is proposed to calculate the weight coefficients of different travel individuals.Finally,this paper selects several representative cities in China and verifies the individual travel preference mining method and multi-objective travel path planning model proposed in this paper based on the data of flights,railway and urban transfer.The results show that the methods proposed in this paper has good adaptability in individual travel preferences and can generate a satisfactory multimodal route planning scheme.