Comparison and modification of car following models toward a more accurate microscopic simulation parameters 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Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

2 Citations (Scopus)


Traffic safety studies demand more than what current micro-simulation models can provide as they presume that all drivers of motor vehicles exhibit safe behaviours. Several car-following models are used in various micro-simulation models. This research compares the mainstream car following models' capabilities of emulating precise driver behaviour parameters such as headways and Time to Collisions. The comparison firstly illustrates which model is more robust in the metric reproduction. Secondly, the study conducted a series of sensitivity tests to further explore the behaviour of each model. Based on the outcome of these two steps exploration of the models, a modified structure and parameters adjustment for each carfollowing model is proposed to simulate more realistic vehicle movements, particularly headways and Time to Collision, below a certain critical threshold. NGSIM vehicle trajectory data is used to evaluate the modified models performance to assess critical safety events within traffic flow. The simulation tests outcomes indicate that the proposed modified models produce better frequency of critical Time to Collision than the generic models, while the improvement on the headway is not significant. The outcome of this paper facilitates traffic safety assessment using microscopic simulation.

Original languageEnglish
Publication statusPublished - 1 Jan 2012
Externally publishedYes
Event19th Intelligent Transport Systems World Congress, ITS 2012 - Vienna, Austria
Duration: 22 Oct 201226 Oct 2012


Conference19th Intelligent Transport Systems World Congress, ITS 2012


  • Behavioural modelling
  • Car following
  • Microscopic simulation
  • Safety metrics

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation


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