A stochastic driver distraction model for microscopic traffic simulations

Manuel Lindorfer, Christian Backfrieder, Christoph Mecklenbräuker, Gerald Ostermayer

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper we propose a novel approach towards integrating driver distractions with microscopic traffic simulations for the purpose of evaluating the impact of distracted driving on traffic flow in large-scale simulator studies. We use stochastic processes to model the frequency and duration of distractive tasks and, by doing so, generate distraction profiles for every individual vehicle in the simulation. We validate our model with the aid of an empirical data set and show that it is capable of reproducing the statistical properties derived from these data to a satisfying extent by performing dynamic simulations using the microscopic traffic simulator TraffSim.

Original languageEnglish
Title of host publication31st Annual European Simulation and Modelling Conference 2017, ESM 2017
EditorsPaulo J.S. Goncalves
PublisherEUROSIS
Pages247-251
Number of pages5
ISBN (Electronic)9789492859006
Publication statusPublished - 2017
Event31st Annual European Simulation and Modelling Conference, ESM 2017 - Lisbon, Portugal
Duration: 25 Oct 201727 Oct 2017

Publication series

Name31st Annual European Simulation and Modelling Conference 2017, ESM 2017

Conference

Conference31st Annual European Simulation and Modelling Conference, ESM 2017
Country/TerritoryPortugal
CityLisbon
Period25.10.201727.10.2017

Keywords

  • Computer modeling
  • Driver distraction
  • Human factors
  • Microscopic traffic simulation

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