A novel algorithm to identifying vehicle travel path in elevated road area based on GPS trajectory data
In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemination system in many cities. However, the recent massive construction of urban eleva...
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Published in | Frontiers of earth science Vol. 6; no. 4; pp. 354 - 363 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Abstract | In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemination system in many cities. However, the recent massive construction of urban elevated roads hinders the processing of corresponding GPS data and further extraction of traffic information (e.g., identifying the real travel path), as a result of the frequent transfer of vehicles between ground and elevated road travel. Consequently, an algorithm for identifying the travel road type (i.e., elevated or ground road) of vehicles is designed based on the vehicle traveling features, geometric and topological characteristics of the elevated road network, and a trajectory model proposed in the present study. To be specific, the proposed algorithm can detect the places where a vehicle enters, leaves or crosses under elevated roads. An experiment of 10 sample taxis in Shanghai, China was conducted, and the comparison of our results and results that are obtained from visual interpretation validates the proposed algorithm. |
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AbstractList | In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemination system in many cities. However, the recent massive construction of urban elevated roads hinders the processing of corresponding GPS data and further extraction of traffic information (e.g., identifying the real travel path), as a result of the frequent transfer of vehicles between ground and elevated road travel. Consequently, an algorithm for identifying the travel road type (i.e., elevated or ground road) of vehicles is designed based on the vehicle traveling features, geometric and topological characteristics of the elevated road network, and a trajectory model proposed in the present study. To be specific, the proposed algorithm can detect the places where a vehicle enters, leaves or crosses under elevated roads. An experiment of 10 sample taxis in Shanghai, China was conducted, and the comparison of our results and results that are obtained from visual interpretation validates the proposed algorithm. In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemina- tion system in many cities. However, the recent massive construction of urban elevated roads hinders the processing of corresponding GPS data and further extraction of traffic information (e.g., identifying the real travel path), as a result of the frequent transfer of vehicles between ground and elevated road travel. Consequently, an algorithm for identifying the travel road type (i.e., elevated or ground road) of vehicles is designed based on the vehicle traveling features, geometric and topological characteristics of the elevated road network, and a trajectory model proposed in the present study. To be specific, the proposed algorithm can detect the places where a vehicle enters, leaves or crosses under elevated roads. An experiment of 10 sample taxis in Shanghai, China was conducted, and the comparison of our results and results that are obtained from visual interpretation validates the proposed algo- rithm. In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemination system in many cities. However, the recent massive construction of urban elevated roads hinders the processing of corresponding GPS data and further extraction of traffic information (e.g., identifying the real travel path), as a result of the frequent transfer of vehicles between ground and elevated road travel. Consequently, an algorithm for identifying the travel road type (i.e., elevated or ground road) of vehicles is designed based on the vehicle traveling features, geometric and topological characteristics of the elevated road network, and a trajectory model proposed in the present study. To be specific, the proposed algorithm can detect the places where a vehicle enters, leaves or crosses under elevated roads. An experiment of 10 sample taxis in Shanghai, China was conducted, and the comparison of our results and results that are obtained from visual interpretation validates the proposed algorithm.[PUBLICATION ABSTRACT] |
Author | Peng, Zhongren Hu, Yujie Xu, Xianrui Li, Xiaojie |
AuthorAffiliation | School of Transportation Engineering, Tongji University, Shanghai 201804, China ZTE Corporation, Nanji-ng 210012 China Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA Department of Urban and Regional Planning, University of Florida, Gainesville, FL 32611, USA |
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CitedBy_id | crossref_primary_10_1080_17489725_2017_1420256 crossref_primary_10_1016_j_trc_2015_06_008 crossref_primary_10_1109_TITS_2016_2604484 |
Cites_doi | 10.1109/TITS.2010.2074196 10.1016/j.trc.2007.05.002 10.1016/S0968-090X(00)00026-7 10.1007/s10514-005-0609-1 10.1145/1247660.1247686 10.1080/15472450600793560 |
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Keywords | GPS trajectory vehicle status identification trajectory segmentation road network modeling elevated road |
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Notes | GPS trajectory, trajectory segmentation, road road vehicle status identification, network modeling, elevated In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemina- tion system in many cities. However, the recent massive construction of urban elevated roads hinders the processing of corresponding GPS data and further extraction of traffic information (e.g., identifying the real travel path), as a result of the frequent transfer of vehicles between ground and elevated road travel. Consequently, an algorithm for identifying the travel road type (i.e., elevated or ground road) of vehicles is designed based on the vehicle traveling features, geometric and topological characteristics of the elevated road network, and a trajectory model proposed in the present study. To be specific, the proposed algorithm can detect the places where a vehicle enters, leaves or crosses under elevated roads. An experiment of 10 sample taxis in Shanghai, China was conducted, and the comparison of our results and results that are obtained from visual interpretation validates the proposed algo- rithm. 11-5982/P http://dx.doi.org/10.1007/s11707-012-0340-0 GPS trajectory Document received on :2012-07-27 trajectory segmentation road network modeling elevated road Document accepted on :2011-09-03 vehicle status identification |
OpenAccessLink | https://journal.hep.com.cn/fesci/EN/10.1007/s11707-012-0340-0 |
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SubjectTerms | Algorithms cities Data collection Earth and Environmental Science Earth Sciences elevated road Global positioning systems GPS GPS trajectory GPS数据处理 information dissemination Information processing Position tracking Research Article road network modeling Roads Roads & highways topology traffic trajectory segmentation vehicle status identification Vehicles 信息传播系统 信息采集技术 基础 移动路径 算法 车辆行驶 高架路 |
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Title | A novel algorithm to identifying vehicle travel path in elevated road area based on GPS trajectory data |
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