Literature DB >> 17617240

Examining driver behavior using data gathered from red light photo enforcement cameras.

C Y David Yang1, Wassim G Najm.   

Abstract

INTRODUCTION: To develop an effective driver assistance system that can prevent red light violations, it is important to have a thorough understanding of contributing factors and circumstances surrounding such violations.
METHODS: Red light violation behavior was examined using about 47,000 violation records that were captured by photo enforcement cameras from 11 signalized intersections in the city of Sacramento, California, over a four-year period. This examination identified factors with strong correlation to red light running behavior.
RESULTS: Key findings based on Sacramento's red light violation records include: (a) younger drivers showed a higher tendency of running the red light and were more likely to commit such a violation at speeds above the posted speed limit; (b) off-peak time period between 8 p.m. to 5 a.m. had lower violation counts, but red light violators in this time frame had a higher propensity of racing through intersections at high speeds; (c) also during the time period between 8 p.m. to 5 a.m., violators showed a higher probability of entering intersections two or more seconds after the onset of red light; and (d) violators were less likely to cross high traffic-volume intersections with speeds greater than the posted speed limit. DISCUSSION: Sacramento's data suggest that some red light violators might have committed such an offense unintentionally. The top three violation speeds were all below 20 mph and more than 94% of red light runners crossed intersections within 2 seconds after the onset of the red light. IMPACT ON INDUSTRY: In the next several years, studies will be executed to assess whether a red light violation warning system can reduce "unintentional red light running" such as drivers who made incorrect judgment regarding the adequate time to clear the intersection and inattentive motorists who fail to observe the presence and status of the red light.

Mesh:

Year:  2007        PMID: 17617240     DOI: 10.1016/j.jsr.2007.01.008

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  3 in total

1.  Urban and rural differences in older drivers' failure to stop at stop signs.

Authors:  Lisa Keay; Srichand Jasti; Beatriz Munoz; Kathleen A Turano; Cynthia A Munro; Donald D Duncan; Kevin Baldwin; Karen J Bandeen-Roche; Emily W Gower; Sheila K West
Journal:  Accid Anal Prev       Date:  2009-06-21

2.  Preventing Emergency Vehicle Crashes: Status and Challenges of Human Factors Issues.

Authors:  Hongwei Hsiao; Joonho Chang; Peter Simeonov
Journal:  Hum Factors       Date:  2018-07-02       Impact factor: 2.888

3.  Pedestrian injury and human behaviour: observing road-rule violations at high-incident intersections.

Authors:  Jonathan Cinnamon; Nadine Schuurman; S Morad Hameed
Journal:  PLoS One       Date:  2011-06-15       Impact factor: 3.240

  3 in total

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