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Path Travel Time Estimating Method by Incomplete Traffic Data

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Abstract

This study proposes a method estimating stochastic path travel times by using both traffic counter data and probe car data complementarily. A stochastic traffic demand for each O-D pair in a road network is estimated by maximum likelihood estimation with respect to traffic counter data. Stochastic path travel times are addressed as a prior multivariate path travel time distribution. The estimated stochastic path travel time is updated by applying Bayesian inference using observed probe car data. The updated path travel time can be regarded as a posterior multivariate path travel time distribution. Numerical experiments demonstrate inference processes of path travel time and verify our proposed model.

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Acknowledgements

This study was supported by the Committee on Advanced Road Technology (CART), Ministry of Land, Infrastructure, Transport, and Tourism, Japan.

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Authors and Affiliations

  1. Graduate School of Engineering, Hokkaido University, Sapporo, Japan

    Ryuichi Tani & Takashi Owada

  2. School of Engineering, Hokkaido University, Sapporo, Japan

    Kenetsu Uchida

Authors
  1. Ryuichi Tani
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  2. Takashi Owada
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  3. Kenetsu Uchida
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Correspondence to Ryuichi Tani.

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Tani, R., Owada, T. & Uchida, K. Path Travel Time Estimating Method by Incomplete Traffic Data. Int. J. ITS Res. 18, 43–52 (2020). https://doi.org/10.1007/s13177-018-0168-4

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  • DOI: https://doi.org/10.1007/s13177-018-0168-4

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