A Traffic Assignment Model Considering Users Heterogeneities in the MaaS Scenario
In the MaaS scenario,the travel characteristics of different users were extracted through the travel questionnaire survey.The generalized travel cost function was constructed to determine the travel cost,travel time and travel comfort weights of people of different ages and incomes.The membership function is constructed by fuzzy comprehensive evaluation method to extract and fuse the travel features of individual travel chain under the combined travel mode,and the model parameter calibration is completed.The model considers the requirements of economy,convenience and comfort for people with different characteristics,and the model is more accurate.In terms of model application,the model was applied to Panyu Square and Beijing street area of Guangzhou and the results show that the traffic allocation calculated by the model is in good agreement with the actual traffic data of bus,subway and driving modes.The average traffic allocation accuracy of multi-mode combined trips in the two districts reaches 86.8%,which proves the feasibility and effectiveness of the model.