| Currently,the travel demand of commuter travelers is characterized by network,rapidity and multiple transportation modes,gradually developing into commuter travel modes such as cars and buses mainly,plus hitchhiking.In addition,due to the different socio-economic conditions and preferences of individuals,the travel choice behavior of travelers shows heterogeneity.In order to analyze the commuter travel choice behavior and traffic conditions under multiple factors,this thesis uses the classical bottleneck model,based on Mesa multiintelligence simulation platform in Python and S.U.M.O urban traffic simulation platform,to study the commuter multi-day travel behavior of commuters.platform,we analyze the commuting travel choices,impact characteristics and road traffic equilibrium problems under the above three modes and two types of heterogeneous travelers from the perspective of individual choices.With the development of Internet technology,shared and economic commuting modes such as hitchhiking have become one of the preferred modes of travel for commuters.However,the contradiction between the limited urban road resources and the increasing travel demand of urban commuters is also becoming more and more prominent due to the differences in commuting demand,travel characteristics and travel costs of various transportation modes,as well as the existence of information barriers between multiple transportation modes,and traffic congestion and the imbalance of travel mode ratios have become a complex problem to be faced by many large and medium-sized cities.Therefore,it is of great theoretical value and practical significance to study the travel choice behavior for commuters under multi-modal traffic conditions.The simulation results show that commuters can choose the next optimal travel plan from various travel plans in the travel choice set based on the previous travel cost as a reference.The commuter intelligent body pursues its own benefit maximization while achieving dynamic equilibrium through co-evolutionary algorithms.The research results of this thesis help to study the travel choice behavior of commuters under bottleneck environment,and provide theoretical help for commuters to make reasonable commuting travel plans,select reasonable travel time and travel mode,and obtain maximum travel benefits.At the same time,this thesis provides a new research method for studying commuters’ personal decision making,and also provides new ideas for the study of multi-modal commuting behavior in terms of theory. |
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