Dynamic effect of vehicle types on traffic state estimation

Quang Minh Tran, Muhammad Ariff Baharudin, Eiji Kamioka, Shigeki Yamada

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

Abstract

Vehicles in different types such as bus, truck, car, motorbike may differently affect traffic state. This paper proposes a notable model to dynamically identify the effect of different vehicle types on traffic state estimation. In addition, a novel traffic state quantification model considering these effects was proposed. Here, traffic states can be quantified into levels using the GPS data reported by mobile devices. The effectiveness of the proposed solutions was analyzed and evaluated thoroughly using the experimental data. The proposed model is flexible and effective enough to be applied in complicated traffic infrastructures where not only automobiles but also motorbikes travel in the road network as in developing countries.

Original languageEnglish
Title of host publication2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013
Pages32-37
Number of pages6
DOIs
Publication statusPublished - 2013 Apr 12
Externally publishedYes
Event2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013 - Ho Chi Minh City, Viet Nam
Duration: 2013 Jan 212013 Jan 24

Publication series

Name2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013

Conference

Conference2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013
CountryViet Nam
CityHo Chi Minh City
Period13/1/2113/1/24

Keywords

  • ITS
  • Mobile probes
  • different vehicle types
  • traffic state estimation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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  • Cite this

    Tran, Q. M., Baharudin, M. A., Kamioka, E., & Yamada, S. (2013). Dynamic effect of vehicle types on traffic state estimation. In 2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013 (pp. 32-37). [6482361] (2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013). https://doi.org/10.1109/ComManTel.2013.6482361