Literature DB >> 26298271

How accurate is accident data in road safety research? An application of vehicle black box data regarding pedestrian-to-taxi accidents in Korea.

Younshik Chung1, IlJoon Chang2.   

Abstract

Recently, the introduction of vehicle black box systems or in-vehicle video event data recorders enables the driver to use the system to collect more accurate crash information such as location, time, and situation at the pre-crash and crash moment, which can be analyzed to find the crash causal factors more accurately. This study presents the vehicle black box system in brief and its application status in Korea. Based on the crash data obtained from the vehicle black box system, this study analyzes the accuracy of the crash data collected from existing road crash data recording method, which has been recorded by police officers based on accident parties' statements or eyewitness's account. The analysis results show that the crash data observed by the existing method have an average of 84.48m of spatial difference and standard deviation of 157.75m as well as average 29.05min of temporal error and standard deviation of 19.24min. Additionally, the average and standard deviation of crash speed errors were found to be 9.03km/h and 7.21km/h, respectively.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accident data accuracy; Crash speed error; Police-recorded accident data; Spatiotemporal accident record error; Vehicle black box

Mesh:

Year:  2015        PMID: 26298271     DOI: 10.1016/j.aap.2015.08.001

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


  3 in total

1.  Methods for fusing uncertain results obtained from different models in accident reconstruction.

Authors:  Tiefang Zou; Fenglin He
Journal:  Forensic Sci Res       Date:  2020-01-27

2.  A Multilevel Model Approach for Investigating Individual Accident Characteristics and Neighborhood Environment Characteristics Affecting Pedestrian-Vehicle Crashes.

Authors:  Seunghoon Park; Dongwon Ko
Journal:  Int J Environ Res Public Health       Date:  2020-04-29       Impact factor: 3.390

3.  Safety Analysis of Motorcycle Crashes in Seoul Metropolitan Area, South Korea: An Application of Nonlinear Optimal Scaling Methods.

Authors:  Younshik Chung; Tai-Jin Song
Journal:  Int J Environ Res Public Health       Date:  2018-11-30       Impact factor: 3.390

  3 in total

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