Literature DB >> 25453175

Motor vehicle driver injury severity study under various traffic control at highway-rail grade crossings in the United States.

Wei Hao1, Janice Daniel2.   

Abstract

INTRODUCTION: Based on the Federal Railway Administration (FRA) database, approximately 62% of the collisions at highway-rail crossings occurred at locations with active controls (gate and flashing lights), followed by passive controls (cross bucks and stop signs) with approximately 28% of accidents.
METHOD: The study applied an ordered probit model to explore the determinants of driver injury severity under various control measures at highway-rail grade crossing in the United States.
RESULTS: The analysis found that schedule factor (peak hour), visibility, motor vehicle speed, train speed, driver's age, area type, traffic volume and highway pavement impact driver injury severity at both active and passive highway-rail crossings. PRACTICAL APPLICATIONS: For both active and passive control highway-rail grade crossings, speed control for both trains and vehicles will significantly reduce driver injury severity. However, the level of influence by vehicle speed and train speed at passive control is higher compared with active control. Paving highways at highway-rail grade crossings will also help to reduce driver injury severity at highway-rail crossing accidents. Published by Elsevier Ltd.

Entities:  

Keywords:  Accidents; Control devices; Highway-rail grade crossing; Injury Severity; Ordered probit model

Mesh:

Year:  2014        PMID: 25453175     DOI: 10.1016/j.jsr.2014.08.002

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


  1 in total

1.  Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor.

Authors:  Ronghua Du; Gang Qiu; Kai Gao; Lin Hu; Li Liu
Journal:  Sensors (Basel)       Date:  2020-01-13       Impact factor: 3.576

  1 in total

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