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Travel Decision Model of Heterogeneous Commuters under Uncertain Environment

Travel Decision Model of Heterogeneous Commuters under Uncertain Environment
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摘要 In order to better describe the commuter's travel decision-making behavior under different travel environment,heterogeneous commuters and types are defined,and the commuters are divided into three types,including conservative type,neutral type and adventure type,respectively,analysis on the travel environment supply and the travel environment demand.Suppose the travel demand obeys the gamma distribution and the capacity obeys the beta distribution,and the travel time function of different commuter type is deduced,the travel decision model based on the cumulative foreground theory is established.Analyze the example results,compared with the fluctuation of travel demand,the degradation of traffic capacity has a more significant impact on travel decision-making behavior;and different types of commuters cause different disturbances to travel decision-making behavior. In order to better describe the commuter' s travel decision-making behavior under different travel environment, heterogeneous commuters and types are defined, and the commuters are divided into three types, including conservative type, neutral type and adventure type, respectively, analysis on the travel environment supply and the travel environment demand. Suppose the travel demand obeys the gamma distribution and the capacity obeys the beta distribution, and the travel time function of different commuter type is deduced, the travel decision model based on the cumulative foreground theory is established. Analyze the example results, compared with the fluctuation of travel demand, the degradation of traffic capacity has a more significant impact on travel decision-making behavior; and different types of commuters cause different disturbances to travel decision-making behavior.
机构地区 School of Highway
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2018年第4期73-80,共8页 哈尔滨工业大学学报(英文版)
基金 Sponsored by the National Natural Science Foundation of China(Grant o.50808021)
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