Literature DB >> 17126278

Determining the potential safety benefit of improved lighting in three pedestrian crash scenarios.

John M Sullivan1, Michael J Flannagan.   

Abstract

The influence of light level was determined for three pedestrian crash scenarios associated with three adaptive headlighting solutions-curve lighting, motorway lighting, and cornering light. These results were coupled to corresponding prevalence data for each scenario to derive measures of annual lifesaving potential. For each scenario, the risk associated with light level was determined using daylight saving time (DST) transitions to produce a dark/light interval risk ratio; prevalence was determined using the corresponding annual crash rate in darkness for each scenario. For curve lighting, pedestrian crashes on curved roadways were examined; for motorway lighting, crashes associated with high speed roadways were examined; and for cornering light, crashes involving turning vehicles at intersections were examined. In the curve analysis, lower dark/light crash ratios were observed for curved sections of roadway compared to straight roads. In the motorway analysis, posted speed limit was the dominant predictor of this ratio for the fatal crash dataset; road function class was the dominant predictor of the ratio for the fatal/nonfatal dataset. Finally, in the intersection crash analysis, the dark/light ratio for turning vehicles was lower than for nonturning vehicles; and the ratio at intersections was lower than at non-intersections. Relative safety need was determined by combining the dark/light ratio with prevalence data to produce an idealized measure of lifesaving potential. While all three scenarios suggested a potential for safety improvement, scenarios related to high speed roadway environments showed the greatest potential.

Mesh:

Year:  2006        PMID: 17126278     DOI: 10.1016/j.aap.2006.10.010

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  5 in total

1.  Adverse weather conditions and fatal motor vehicle crashes in the United States, 1994-2012.

Authors:  Shubhayu Saha; Paul Schramm; Amanda Nolan; Jeremy Hess
Journal:  Environ Health       Date:  2016-11-08       Impact factor: 5.984

Review 2.  Use, perceptions, and benefits of automotive technologies among aging drivers.

Authors:  David W Eby; Lisa J Molnar; Liang Zhang; Renée M St Louis; Nicole Zanier; Lidia P Kostyniuk; Sergiu Stanciu
Journal:  Inj Epidemiol       Date:  2016-12-19

3.  Association between Crash Attributes and Drivers' Crash Involvement: A Study Based on Police-Reported Crash Data.

Authors:  Guofa Li; Weijian Lai; Xingda Qu
Journal:  Int J Environ Res Public Health       Date:  2020-12-03       Impact factor: 3.390

Review 4.  Impact of daylight saving time on road traffic collision risk: a systematic review.

Authors:  Rachel N Carey; Kiran M Sarma
Journal:  BMJ Open       Date:  2017-07-02       Impact factor: 2.692

5.  Road lighting density and brightness linked with increased cycling rates after-dark.

Authors:  Jim Uttley; Steve Fotios; Robin Lovelace
Journal:  PLoS One       Date:  2020-05-15       Impact factor: 3.240

  5 in total

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