A Method for Bus OD Matrix Estimation Using Multisource Data
The automated fare collection (AFC) system has gained increasing popularity among transit systems worldwide. The AFC system is usually an entry-only system that only records the serial number of the smart card and the transaction time of each use. Neither the AFC data nor the bus global positioning...
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doaj-c3eec2d4ba974d07a4d96d57571145962020-11-25T02:40:35ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/57405215740521A Method for Bus OD Matrix Estimation Using Multisource DataDi Huang0Jun Yu1Shiyu Shen2Zhekang Li3Luyun Zhao4Cheng Gong5Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing 211189, ChinaJiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing 211189, ChinaDidi Chuxing, Beijing 100085, ChinaJiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing 211189, ChinaDidi Chuxing, Beijing 100085, ChinaDidi Chuxing, Beijing 100085, ChinaThe automated fare collection (AFC) system has gained increasing popularity among transit systems worldwide. The AFC system is usually an entry-only system that only records the serial number of the smart card and the transaction time of each use. Neither the AFC data nor the bus global positioning system (GPS) could reveal the passenger’s alighting information, namely, alighting time and station. Hence, the station-to-station origin-destination (OD) trip information cannot be obtained directly from the available data sources. To address this problem, this paper proposes a methodology that estimates the OD matrix by using smart card and GPS data. In this paper, the characteristics of the basic data sources are first analyzed, based on which the bus arrival time is generated using the density-based clustering algorithm and a time correction strategy, based on which the passenger’s boarding station is identified. The alighting stations are inferred based on the characteristics of bus trip chaining, which could identify over 80% of the alighting stations on average. Finally, the proposed methodology is verified by a comprehensive field survey in Suzhou, China, with 100% sample rate.http://dx.doi.org/10.1155/2020/5740521 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Di Huang Jun Yu Shiyu Shen Zhekang Li Luyun Zhao Cheng Gong |
spellingShingle |
Di Huang Jun Yu Shiyu Shen Zhekang Li Luyun Zhao Cheng Gong A Method for Bus OD Matrix Estimation Using Multisource Data Journal of Advanced Transportation |
author_facet |
Di Huang Jun Yu Shiyu Shen Zhekang Li Luyun Zhao Cheng Gong |
author_sort |
Di Huang |
title |
A Method for Bus OD Matrix Estimation Using Multisource Data |
title_short |
A Method for Bus OD Matrix Estimation Using Multisource Data |
title_full |
A Method for Bus OD Matrix Estimation Using Multisource Data |
title_fullStr |
A Method for Bus OD Matrix Estimation Using Multisource Data |
title_full_unstemmed |
A Method for Bus OD Matrix Estimation Using Multisource Data |
title_sort |
method for bus od matrix estimation using multisource data |
publisher |
Hindawi-Wiley |
series |
Journal of Advanced Transportation |
issn |
0197-6729 2042-3195 |
publishDate |
2020-01-01 |
description |
The automated fare collection (AFC) system has gained increasing popularity among transit systems worldwide. The AFC system is usually an entry-only system that only records the serial number of the smart card and the transaction time of each use. Neither the AFC data nor the bus global positioning system (GPS) could reveal the passenger’s alighting information, namely, alighting time and station. Hence, the station-to-station origin-destination (OD) trip information cannot be obtained directly from the available data sources. To address this problem, this paper proposes a methodology that estimates the OD matrix by using smart card and GPS data. In this paper, the characteristics of the basic data sources are first analyzed, based on which the bus arrival time is generated using the density-based clustering algorithm and a time correction strategy, based on which the passenger’s boarding station is identified. The alighting stations are inferred based on the characteristics of bus trip chaining, which could identify over 80% of the alighting stations on average. Finally, the proposed methodology is verified by a comprehensive field survey in Suzhou, China, with 100% sample rate. |
url |
http://dx.doi.org/10.1155/2020/5740521 |
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