Car-Following Behavior in Traffic Having Mixed Vehicle-Types

Car-following models replicate the behavior of a driver following another vehicle and are widely used in the development of traffic simulation tools. In this study, the performance of major car-following models is evaluated using microscopic vehicle trajectory when the lead and the following vehicle-types are different. Vehicles equipped with Global Positioning System (GPS) receivers were used to collect car-following data from two urban arterials of India. Analysis of car-following data indicates the existence of distinct behavior for each vehicle-type combination. Among the vehicle-type combinations studied, the following behavior of small sized vehicles is easily reproduced by the models, compared to large vehicle-types. Similarly, among the models, the Gipps and Krauss models are able to predict following behavior better than the rest followed by the MITSIM model.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19427867
• Authors:
  • Mathew, Tom V
  • Ravishankar, K V R
• Publication Date: 2011-4

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 109-122
• Serial:
  • Transportation Letters: The International Journal of Transportation Research
  • Volume: 3
  • Issue Number: 2
  • Publisher: Taylor & Francis
  • ISSN: 1942-7867
  • EISSN: 1942-7875
  • Serial URL: http://www.tandfonline.com/toc/ytrl20/current

Subject/Index Terms

• TRT Terms: Car following; Global Positioning System; Mathematical prediction; Traffic simulation; Travel by vehicle type
• Identifier Terms: MITSIM (Computer program)
• Uncontrolled Terms: Driver characteristics
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment; I83: Accidents and the Human Factor; I90: Vehicles;

Filing Info

• Accession Number: 01345787
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 29 2011 7:45AM