A virtual trip line matching model for positioning and tracking cellular probe vehicles based on multiple geolocation points

Yu-Chiun Chiou, Chih Wei Hsieh

研究成果: Conference contribution同行評審

摘要

With the rapid growing popularity of cellular phones, cellular vehicle probe (CVP)-based travel time information systems become comparatively advantageous. Due to the vague positioning problem of CVP, to directly determine the travel path with the closest travel time may lead to an erroneous result. This paper proposes a virtual trip line matching model to determine the travel path of a mobile user by using the Yen's K-shortest paths algorithm to obtain potential paths and the latent class model (LCM) to develop the map-matching model. A simplified network is used to estimate the LCM models and to validate the performance of the proposed model under various traffic conditions simulated by Paramics traffic simulator. The results show that prediction accuracy of travel paths can be improved by approximate 45%. Accordingly, the proposed model remarkably outperforms than the traditional model.

原文English
主出版物標題Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015
主出版物子標題Urban Transport Analytics
編輯Sylvia Y. He, Yong-Hong Kuo, C.H. Cheng, Janny M.Y. Leung
發行者Hong Kong Society for Transportation Studies Limited
頁面311-318
頁數8
ISBN(電子)9789881581440
出版狀態Published - 1 一月 2015
事件20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015 - Hong Kong, Hong Kong
持續時間: 12 十二月 201514 十二月 2015

出版系列

名字Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics

Conference

Conference20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015
國家/地區Hong Kong
城市Hong Kong
期間12/12/1514/12/15

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