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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Bibliographic Details
Published inFrontiers of earth science Vol. 6; no. 4; pp. 354 - 363
Main Authors Xu, Xianrui, Li, Xiaojie, Hu, Yujie, Peng, Zhongren
Format Journal Article
LanguageEnglish
Published Heidelberg Springer-Verlag 2012
Higher Education Press
SP Higher Education Press
Springer Nature B.V
Subjects
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
China
Shanghai China
GPS trajectory
vehicle status identification
trajectory segmentation
road network modeling
elevated road
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Summary: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.
Bibliography: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
ISSN:2095-0195
2095-0209
DOI:10.1007/s11707-012-0340-0