Travel Time Estimation Based on Fused Traffic State Data: Case Studies in US and South Korea

DOI
  • MIL Soknath
    School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University
  • PIANTANAKULCHAI Mongkut
    School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University

抄録

The goal of Advance Traveler Information System (ATIS) is to improve traffic flow and safety by providing up-to-date information of traffic network. In this paper, traffic information (travel time) estimation based on fused traffic state data is presented. A centralized architecture is used to fuse the traffic sate data from different sensors based fusion by averaging and fusion by median and to estimate the travel time based on the simultaneous travel time estimation model accordingly. Two case studies are selected to investigate the performance of fusion models based on freeway data in USA and the arterial road data in South Korea. The results show that the fusion by median performs best. The model is able to eliminate outliers in the data with less effort of complex mathematical process. It can be used as a benchmark for comparison with other advanced fusion models.

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詳細情報 詳細情報について

  • CRID
    1390001205289794944
  • NII論文ID
    130005117507
  • DOI
    10.11175/easts.11.1868
  • ISSN
    18811124
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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