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Personalized Modeling of Travel Behaviors and Traffic Dynamics
| 题名： | Personalized Modeling of Travel Behaviors and Traffic Dynamics |
| 正文语种： | eng |
| 作者： | Cheng Lyu;Yang Liu;Liang Wang;Xiaobo Qu |
| 作者单位： | Dept. of Mobility Systems Engineering School of Engineering and Design Technical Univ. of Munich Parkring 37 Munich D-80333 Germany;Dept. of Architecture and Civil Engineering Chalmers Univ. of Technology Sven Hultins gata 6 Gothenburg SE-41296 Sweden;Ministry of Transportation Academy of Transportation Science No. 7 DongSanHuan Middle Rd. Beijing 100029 China;Dept. of Architecture and Civil Engineering Chalmers Univ. of Technology Sven Hultins gata 6 Gothenburg SE-41296 Sweden |
| 摘要： | Emerging mobile Internet applications have become valuable data sources for fine-grained transportation analysis, which allows the introduction of the concept of Personalization in both microscopic and macroscopic modeling of travel behaviors and traffic dynamics. Inspired by personalized recommendation systems, the personalized transportation models emphasize the importance of individual and local information. Two representative cases are presented in this study and two architectures, namely the travel behavior modeling architecture and the geoinformation modeling architecture, are proposed to address the problems of bike-sharing destination prediction and ensemble of ride-hailing demand predictors, respectively. Their performance has been verified by two case studies using the Mobike bike-sharing data and the DiDi ride-hailing demand data. |
| 出版年： | 2022 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 148 |
| 期： | 10 |
| 页码： | 04022081.1-04022081.8 |
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