It is remarkable that drivers (on average) can safely navigate through dense traffic at high speeds—conditions in which the time headways between vehicles are in the same order of magnitude as human reaction times. One explanation for this is the ability of drivers to anticipate on the traffic conditions in their surroundings. In this paper, we study, through simulation, the effects of reaction times, errors in perception and anticipation on the probability of accidents on freeways. To this end we extend an existing model for car following and lane changing with a perception and anticipation model inspired by Ensley’s three levels of situational awareness (perception, understanding and projection). By systematically varying driving behavior with different reaction times over a range of perception errors, and anticipation strategies, we compute efficiency effects (capacity and total time spent) and safety effects (the probability density of accidents happening as a function of these different contributing factors and errors). The results provide some evidence that safe driving is robust with respect to perception errors under simple anticipation strategies and small reaction times. When reaction times grow larger, more advanced anticipation strategies are needed to guarantee safe driving.

Original languageEnglish
Title of host publicationProceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
PublisherSpringer Verlag
Pages249-261
Number of pages13
Volume591
ISBN (Print)9783319605906
DOIs
Publication statusPublished - 2018
EventAHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume591
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
CountryUnited States
CityLos Angeles
Period17/07/1721/07/17

    Research areas

  • Anticipation strategies, Awareness, Driving behavior, Perception errors, Traffic safety

ID: 22225615