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

Yu-Chiun Chiou, Chih Wei Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015
Subtitle of host publicationUrban Transport Analytics
EditorsSylvia Y. He, Yong-Hong Kuo, C.H. Cheng, Janny M.Y. Leung
PublisherHong Kong Society for Transportation Studies Limited
Pages311-318
Number of pages8
ISBN (Electronic)9789881581440
StatePublished - 1 Jan 2015
Event20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015 - Hong Kong, Hong Kong
Duration: 12 Dec 201514 Dec 2015

Publication series

NameProceedings 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
CountryHong Kong
CityHong Kong
Period12/12/1514/12/15

Keywords

  • Cellular probe vehicle
  • Geolocation point
  • Latent class model
  • Map matching

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