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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front Earth Sci    2012, Vol. 6 Issue (4) : 354-363    https://doi.org/10.1007/s11707-012-0340-0
RESEARCH ARTICLE
A novel algorithm to identifying vehicle travel path in elevated road area based on GPS trajectory data
Xianrui XU1(), Xiaojie LI2, Yujie HU3, Zhongren PENG1,4
1. School of Transportation Engineering, Tongji University, Shanghai 201804, China; 2. ZTE Corporation, Nanjing 210012, China; 3. Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA; 4. Department of Urban and Regional Planning, University of Florida, Gainesville, FL 32611, USA
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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.

Keywords GPS trajectory      vehicle status identification      trajectory segmentation      road network modeling      elevated road     
Corresponding Author(s): XU Xianrui,Email:xuxianrui105@163.com   
Issue Date: 05 December 2012
 Cite this article:   
Xianrui XU,Xiaojie LI,Yujie HU, et al. A novel algorithm to identifying vehicle travel path in elevated road area based on GPS trajectory data[J]. Front Earth Sci, 2012, 6(4): 354-363.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-012-0340-0
https://academic.hep.com.cn/fesci/EN/Y2012/V6/I4/354
Fig.1  Part of elevated road network
Fig.2  Flow chart of the proposed algorithm
Fig.3  Scenarios of identifying starting/ending Segment’s Status
Fig.4  Identifying the current GPS_segment status
Interval-timeTime-intervalAsMsTsDsLcTl
Peak hours7:00–9:00 17:00–19:002550350.41500 m
Off-peak9:00–17:00 19:00–21:303060400.30500 m
Night hours0:00–7:00 21:30–24:004070500.250500 m
Tab.1  Threshold value of three modes
IDService TimesEnter/Leave TimesPeak HoursError (Peak Hours)Off-PeakError (Off-Peak)Night HoursError (Night Hours)TotalError (Total)
1223011030140
2421560449.09%0508.0%
337110319.68%10329.38%
43617130400150680
5198310128.33%0432.33%
630191910.53%6011.67%308210.98%
74330130432.32%10571.75%
8355030140170
94732137.69%614.92%287.14%1025.88%
104736160588.62%273.70%1017.92%
Tab.2  Result of three modes of ten sample taxies
Time-Interval0 →0Error 10→1Error 21→0Error 31→1Error 4CrossError
Peak Hours195.26%20500130
Off-Peak551.81%137.69%9020365.56%
Night Hours1010.0%2010090
Tab.3  Result of enter/leave elevated road area of ten sample taxies
Fig.5  Part result of Segment Status within Inner Ring Caoxi Road overpass area: (A–F) represent Segment Status result within the area
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