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Author Xu, Xianrui ♦ Li, Xiaojie ♦ Hu, Yujie ♦ Peng, Zhongren
Source SpringerLink
Content type Text
Publisher SP Higher Education Press
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Earth sciences
Subject Keyword GPS trajectory ♦ vehicle status identification ♦ trajectory segmentation ♦ road network modeling ♦ elevated road ♦ Earth Sciences
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.
ISSN 20950195
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-11-24
Publisher Institution Chinese Universities
Publisher Place Heidelberg
e-ISSN 20950209
Journal Frontiers of Earth Science in China
Volume Number 6
Issue Number 4
Page Count 10
Starting Page 354
Ending Page 363


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Source: SpringerLink