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Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data.
| 题名： | Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data. |
| 作者： | Fan, W.; Chen, Z. |
| 关键词： | Public Transit Smart Card Data, Identification, Origin-Destination (OD) matrices, Automatic Vehicle Location (AVL) system, Public transit, Transit smart card data, Urban Bus Rail Transit (UBRT) |
| 摘要： | The smart card (SC)-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 since the transaction data obtained through AFC system contains a significant amount of archived information which can be gathered and leveraged to help estimate public transit Origin-Destination (OD) matrices. Boarding location detection is an important step particularly when there is no automatic vehicle location (AVL) system or GPS information gathered in the database in some cases. With the analysis of raw data without AVL information in such research, an algorithm for trip direction detection needs to be built so that the direction for any bus in operation can be estimated. The transaction intervals between adjacent records will also need to be analyzed to detect the boarding clusters for all trips in sequence. Boarding stops can then be located with the help of route information and operation schedule. Alighting stop information can then be extracted with the analysis of relationships between records. Finally, the feasibility and practicality of such methodology will need to be tested. The goal of this project is to develop a systematic transit passengers’ origin-destination estimation methodology that utilizes data with only limited information to enhance the trip-chain-based OD estimation algorithms using the bus transit smart card data collected in Guangzhou City, China in this research. Specific objectives are to: 1) Detect the direction information of the records, 2) Detect the boarding cluster information of the records, 3) Extract boarding stop information, 4) Extract alighting location information, and 5) Generate OD matrix and analyze transit users’ travel patterns. This report focuses on the algorithms that are developed and used to extract OD information step by step and to present data analysis results based on the extracted information to help the transit planners make informed decisions. |
| 报告类型： | 科技报告 |
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