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Exploring the Performance of Streaming-Data-Driven Traffic State Estimation Method Using Complete Trajectory Data

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Abstract

This study aims to evaluate the performance of an extended floating car data (xFCD)-based traffic state estimation method proposed by Seo et al. (2015), which does not rely on any strong assumptions such as Fundamental Diagram, using high-resolution complete trajectory data, viz. Zen Traffic Data (ZTD). Traffic state estimated by this method, considering randomly sampled trajectories of ZTD as those of probe vehicles with known penetration rates, are compared with ones obtained by complete ZTD by applying Edie’s generalized definitions. The variation in estimation errors and covering percentages are analyzed for varying settings: spatiotemporal resolution and probe penetration rates.

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Acknowledgements

The Zen Traffic Data were provided by Hanshin Expressway Co. Ltd. This study was financially supported by the Japan Society for the Promotion of Science (KAKENHI 17H01297). The authors would like to express their sincere appreciation for the help.

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Tokyo Institute of Technology, 2-12-1-M1-20, O-okayama, Meguro, Tokyo, 152-8552, Japan

    Garima Dahiya & Yasuo Asakura

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  1. Garima Dahiya
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  2. Yasuo Asakura
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Correspondence to Garima Dahiya.

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Dahiya, G., Asakura, Y. Exploring the Performance of Streaming-Data-Driven Traffic State Estimation Method Using Complete Trajectory Data. Int. J. ITS Res. 19, 572–586 (2021). https://doi.org/10.1007/s13177-021-00263-4

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  • DOI: https://doi.org/10.1007/s13177-021-00263-4

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