关键词: 智能交通, 出行方式选择, 混合Logit模型, 共享自动驾驶汽车, 合乘

Abstract:

Shared autonomous vehicles (SAV) are the products of combining autonomous vehicles with shared economy and could provide a new travel mode for people. To explore travelers' choice preferences between SAV with the concern of ride- sharing and private car or public transit, the SAV choice preference survey was implemented, and the potential user characteristics for SAV with the concern of ride-sharing were analyzed. Based on the valid data obtained from the survey, the K-Means clustering method was used to classify historical travel modes, and the characteristics of character and attitude were classified using the factor analysis. In addition, two mixed Logit models in which the parameters of the explanatory variables were subject to different distributions were established for people with and without private cars, respectively, and the results of parameter calibration were compared and analyzed. The research results show that the characteristics of travel modes have extremely significant effects on travelers' mode choice behaviors; the characteristics of character and attitude are significant factors which affect travelers' choice for SAV with the concern of ride-sharing, and their significance is obviously higher than the significance of socio-economic attributes, such as gender, age and so on.

Key words: intelligent transportation, travel mode choice, mixed Logit models, shared autonomous vehicles, ridesharing