Traffic state estimation using traffic measurement from the opposing lane-an application of variational theory

A. Takenouchi, K. Kawai, M. Ikawa, M. Kuwahara

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

Abstract

In this study, we propose a method of estimating traffic conditions using the traffic data observed from the opposing lane instead of using detector data at fixed locations. The requested input data for our proposed method are (1) probe vehicle data on the study stream and (2) data obtained by the measurement vehicles running in the opposing lane. These input data identify the cumulative vehicle counts only along the trajectories of the probe and measurement vehicles in the time-space of interest. We applied the variational theory based on the kinematic wave to estimate vehicle trajectories over the entire time-space using the identified cumulative vehicle counts as the boundary condition. We analyzed the fundamental properties of the proposed method, such as the region in which vehicle trajectories can be estimated, in relation to the probe and measurement vehicle speeds. To confirm the effectiveness of the proposed method, we used traffic state data for verification by using a traffic microsimulator.

Original languageEnglish
Title of host publicationTransport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017
EditorsAnthony Chen, Tony N.N. Sze
PublisherHong Kong Society for Transportation Studies Limited
Pages372-379
Number of pages8
ISBN (Electronic)9789881581464
Publication statusPublished - 2017 Jan 1
Event22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017 - Hong Kong, Hong Kong
Duration: 2017 Dec 92017 Dec 11

Publication series

NameTransport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017

Other

Other22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017
CountryHong Kong
CityHong Kong
Period17/12/917/12/11

Keywords

  • Data assimilation
  • Kinematic wave
  • Traffic flow
  • Variational theory
  • Vehicle trajectory

ASJC Scopus subject areas

  • Transportation

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