Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data
Electronic fareboxes integrated with Automatic Vehicle Location (AVL) systems can provide location-stamped records to infer passenger boarding at individual stops. However, bus loads and Origin-Destination (OD) flows, which are useful for route planning, design, and real-time controls, cannot be der...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/6374858 |
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| author | Yuxiong Ji Jizhou Zhao Zhiming Zhang Yuchuan Du |
| author_facet | Yuxiong Ji Jizhou Zhao Zhiming Zhang Yuchuan Du |
| author_sort | Yuxiong Ji |
| collection | DOAJ |
| description | Electronic fareboxes integrated with Automatic Vehicle Location (AVL) systems can provide location-stamped records to infer passenger boarding at individual stops. However, bus loads and Origin-Destination (OD) flows, which are useful for route planning, design, and real-time controls, cannot be derived directly from farebox data. Recently, Wi-Fi sensors have been used to collect passenger OD flow information. But the data are insufficient to capture the variation of passenger demand across bus trips. In this study, we propose a hierarchical Bayesian model to estimate trip-level OD flow matrices and a period-level OD flow matrix using sampled OD flow data collected by Wi-Fi sensors and boarding data provided by fareboxes. Bus loads on each bus trip are derived directly from the estimated trip-level OD flow matrices. The proposed method is evaluated empirically on an operational bus route and the results demonstrate that it provides good and detailed transit route-level passenger demand information by combining farebox and Wi-Fi signal data. |
| format | Article |
| id | doaj-art-1e232b6803d24c3e9c23a3b63c764f34 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-1e232b6803d24c3e9c23a3b63c764f342025-02-03T01:13:11ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/63748586374858Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal DataYuxiong Ji0Jizhou Zhao1Zhiming Zhang2Yuchuan Du3Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, ChinaSchool of Automotive Studies, Clean Energy of Automotive Engineering Research Center, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, ChinaElectronic fareboxes integrated with Automatic Vehicle Location (AVL) systems can provide location-stamped records to infer passenger boarding at individual stops. However, bus loads and Origin-Destination (OD) flows, which are useful for route planning, design, and real-time controls, cannot be derived directly from farebox data. Recently, Wi-Fi sensors have been used to collect passenger OD flow information. But the data are insufficient to capture the variation of passenger demand across bus trips. In this study, we propose a hierarchical Bayesian model to estimate trip-level OD flow matrices and a period-level OD flow matrix using sampled OD flow data collected by Wi-Fi sensors and boarding data provided by fareboxes. Bus loads on each bus trip are derived directly from the estimated trip-level OD flow matrices. The proposed method is evaluated empirically on an operational bus route and the results demonstrate that it provides good and detailed transit route-level passenger demand information by combining farebox and Wi-Fi signal data.http://dx.doi.org/10.1155/2017/6374858 |
| spellingShingle | Yuxiong Ji Jizhou Zhao Zhiming Zhang Yuchuan Du Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data Journal of Advanced Transportation |
| title | Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data |
| title_full | Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data |
| title_fullStr | Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data |
| title_full_unstemmed | Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data |
| title_short | Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data |
| title_sort | estimating bus loads and od flows using location stamped farebox and wi fi signal data |
| url | http://dx.doi.org/10.1155/2017/6374858 |
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