基于智能交通卡数据的城市轨道交通乘客个体路径选择模型

在分析城市轨道交通乘客旅行时间组成要素的基础上，提出了一种基于智能交通卡数据的乘客个体路径选择模型，克服了传统路径选择模型只考虑群体路径选择的弊端。通过分析轨道交通刷卡出行的特点，建立了乘客旅行时间模型，确立了各旅行时间要素并分析了其独立性。对出行要素进行了估计，计算出路径旅行时间，提出了乘客个体的出行路径选择模型。以北京地铁网络为案例，分析了乘客个体的路径选择，并用实际数据验证了模型的有效性。

Passenger individual route choice model for urban rail transit based on traffic smart card data

Based on the analysis of the components of passenger travel time in urban rail transit, a traffic smart card data based model for personal route choice was proposed in this paper, which overcame the disadvantages of traditional path selection models only taking route selection for group into account. Firstly, by analyzing the characteristics of rail transit trip using smart card, the travel time model was established, the travel time factors were confirmed, and their independence was analyzed. Then, travel factors were estimated, the route travel time was calculated, and the personal travel route choice model was proposed. Finally, taking the Beijing metro network as a case, the personal route choice was analyzed, and the effectiveness of the model was verified by the actual data.