MaaS场景下考虑用户异质性的交通分配模型

A Traffic Assignment Model Considering Users Heterogeneities in the MaaS Scenario

MaaS场景下,通过问卷调查考虑用户异质性,构建广义出行费用函数确定不同年龄不同收入人群的出行费用、出行时间和出行舒适度权重,应用模糊综合评价法构建隶属度函数,对个体出行链多模式交通特征进行提取与融合,完成模型参数标定。该模型考虑不同类别人群出行对经济性、便捷度和舒适性的要求,使得模型更加精细。模型分别应用到广州市番禺广场片区和北京街片区,结果显示,模型计算各OD间主出行方式交通分配量与公交、地铁及驾车等方式实际交通量数据有较高适配,2个片区的多方式组合出行交通量平均分配精度达到86.8%,证明了模型的可行性和有效性。

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.