Car following model improvement for traffic safety metrics reproduction

Kaveh Bevrani, Edward Chung

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

7 Citations (Scopus)


Car Following models have a critical role in all microscopic traffic simulation models. Current microscopic simulation models are unable to mimic the unsafe behaviour of drivers as most are based on presumptions about the safe behaviour of drivers. Gipps model is a widely used car following model embedded in different micro-simulation models. This paper examines the Gipps car following model to investigate ways of improving the model for safety studies application. The paper puts forward some suggestions to modify the Gipps model to improve its capabilities to simulate unsafe vehicle movements (vehicles with safety indicators below critical thresholds). The result of the paper is one step forward to facilitate assessing and predicting safety at motorways using microscopic simulation. NGSIM as a rich source of vehicle trajectory data for a motorway is used to extract its relatively risky events. Short following headways and Time To Collision are used to assess critical safety event within traffic flow. The result shows that the modified proposed car following to a certain extent predicts the unsafe trajectories with smaller error values than the generic Gipps model.

Original languageEnglish
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event34th Australasian Transport Research Forum, ATRF 2011 - Adelaide, Australia
Duration: 28 Sep 201130 Sep 2011


Conference34th Australasian Transport Research Forum, ATRF 2011

ASJC Scopus subject areas

  • Transportation


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