Modeling driver behavior under extreme conditions

Samer H. Hamdar, Hani S. Mahmassani*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traffic simulation tools are an integral element of decision support systems for the evaluation and operation of transportation systems under extreme conditions. However, traffic models do not offer an explicit representation of so-called "panic behavior" that may be encountered under such situations. This type of behavior may result in both qualitative and quantitative differences in the resulting properties and performance of the traffic system. The purpose of this paper is to assess the suitability of existing microscopic traffic models for representing driver behavior under extreme conditions. Several traits and behaviors observed in psychological and sociological studies of panic are mapped onto resulting transportation and driver characteristics. Microscopic traffic models are then evaluated for the extent to which they capture such features of panic behavior of drivers. The main category of microscopic driver behavior situations that is addressed is Acceleration or Car-Following Models. The gaps in the ability of existing models to represent certain aspects of driver behavior under extreme conditions are highlighted. Modifications of existing models to provide better representation of these behaviors are suggested, and an example is presented with a modification of a well-know class of acceleration models.

Original languageEnglish (US)
Title of host publicationIntelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005
PublisherIntelligent Transportation Society, ITS
Pages4891-4902
Number of pages12
ISBN (Print)9781604236354
StatePublished - 2009
Event12th World Congress on Intelligent Transport Systems 2005 - San Francisco, CA, United States
Duration: Nov 6 2005Nov 10 2005

Publication series

NameIntelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005
Volume8

Other

Other12th World Congress on Intelligent Transport Systems 2005
Country/TerritoryUnited States
CitySan Francisco, CA
Period11/6/0511/10/05

Keywords

  • Acceleration
  • Chain accidents
  • Deceleration
  • Panic
  • Reaction time
  • Tailgating

ASJC Scopus subject areas

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

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