Properties of a Microscopic Heterogeneous Multi-Anticipative Traffic Flow Model

This paper considered heterogeneous multi-anticipative car-following modeling established by estimating car-following models using empirical trajectory data. Based on the estimation results, the authors conclude that including multi-anticipative behavior strongly improves the descriptive performance of car-following models at the microscopic level. Furthermore, the papers has shown that the behavior of the individual drivers can only be captured by considering different car-following modeling paradigms, in this case the generalized Helly model family and the modified Lenz model family. Finally, it was concluded that the inter-driver differences were not only expressed by the suitability of different model types, but also by the large variability in the driver-specific car-following parameters. Based on the result, the authors proposed a HEterogeneous Multi-Anticipative (HEMA) model that includes the generalized Helly mode and the modified Lenz model.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 583-606
  • Monograph Title: Transportation and Traffic Theory 2007

Subject/Index Terms

Filing Info

  • Accession Number: 01076783
  • Record Type: Publication
  • ISBN: 9780080453750
  • Files: TRIS
  • Created Date: Sep 6 2007 5:02PM