Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data
| 项目名称： | Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data |
| 摘要： | The smart card-based automated fare collection (AFC) system has become the main method for collecting urban bus and rail transit (UBRT) fares in many cities worldwide. Such smart card technologies provide new opportunities for transportation data collection as the transaction data obtained through AFC system contains a significant amount of archived information. At the same time, basic information about card users can be recorded or inferred by the system. These raw data can potentially help estimate public transit Origin-Destination (O-D) matrices and used by transit service providers for analysis of both passenger demand and system performance, including demand analysis, travel behavior analysis, operational management, and public transit planning. The purpose of this project is to develop a systematic approach to illustrating how passenger journey information can be mined from the data derived from the smart card-based automated fare collection (AFC) system. Advanced solution algorithms will be developed for the origin-destination matrix estimation. The analysis of passenger activities will help present passengers� trip characteristics in a transportation planning aspect. The newly generated origin-destination matrix for the bus network can help the decision makers to plan, design, operate, and manage a more efficient public transit system. |
| 状态： | Completed |
| 资金： | 90033 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | University of North Carolina, Charlotte |
| 项目负责人： | Fan, Wei (David) |
| 执行机构： | Center for Advanced Multimodal Mobility Solutions and Education |
| 主要研究人员： | Fan, Wei (David) |
| 开始时间： | 20170203 |
| 预计完成日期： | 20180930 |
| 实际结束时间： | 20180930 |
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