Heterogeneity in multi-anticipative car-following behaviour by video image data

Microscopic road traffic flow simulation models are increasingly being used to express the dynamic nature of traffic flow. These microscopic traffic simulations require vehicle movements to be modeled and calibrated. Since individual vehicles exhibit heterogeneity, the parameters within these sub-models must incorporate some disturbances. However, due to limited observational data, the various parameters among individuals have not been well validated. We collected video data from an 800m section of an urban expressway over 1 week using 11 video cameras. By tracking individual vehicles on-screen, we can obtain vehicle trajectories. We applied this manually obtained data to investigate individual heterogeneity of vehicle movement; in particular, we focused on multi-anticipative car following behavior, heterogeneity among individuals and relationship between car-following behavior and road geometry.

  • Authors:
    • HONG, D -
    • UNO, N
  • Publication Date: 2009


  • English

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Filing Info

  • Accession Number: 01147016
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Dec 24 2009 8:38AM