Literature DB >> 18760090

Driving performance assessment: effects of traffic accident location and alarm content.

Shun-Hui Chang1, Chih-Yung Lin, Chin-Ping Fung, Jiun-Ren Hwang, Ji-Liang Doong.   

Abstract

According to accident statistics for Taiwan, the two most common traffic accident locations in urban areas are roadway segments and intersections. On roadway segments, most collisions are due to drivers not noticing the status of leading vehicle. At intersections, most collisions are due to the other driver failing to obey traffic signs. Using a driving simulator equipped with a collision warning system, this study investigated driving performance at different accident locations and between different alarm contents, and identified the relationship between crash occurrences and driving performance. Thirty participants, aged 20-29 years, were recruited in this study. Driving performance measures were perception-reaction time, movement-reaction time, speed and a crash. Experimental results indicated that due to different demands for processing information under different traffic conditions, driving performance differed at the two traffic accident locations. On a roadway segment, perception-reaction time for a beep was shorter than the time for a speech message. Nevertheless, at an intersection, a speech message was a great help to drivers and, thus, perception-reaction time was effectively reduced. In addition, logistic regression analysis indicates that perception-movement time had the greatest influence on crash occurrence.

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Year:  2008        PMID: 18760090     DOI: 10.1016/j.aap.2008.05.003

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


  2 in total

1.  Intelligent Driving Assistant Based on Road Accident Risk Map Analysis and Vehicle Telemetry.

Authors:  José Terán; Loraine Navarro; Christian G Quintero M; Mauricio Pardo
Journal:  Sensors (Basel)       Date:  2020-03-22       Impact factor: 3.576

2.  Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System.

Authors:  Gheorghe-Daniel Voinea; Cristian Cezar Postelnicu; Mihai Duguleana; Gheorghe-Leonte Mogan; Radu Socianu
Journal:  Int J Environ Res Public Health       Date:  2020-09-28       Impact factor: 3.390

  2 in total

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