|
Title: Improvement of Crash Data Collection, Processing and Analysis by a Web-Based Software
Accession Number: 01624335
Record Type: Component
Abstract: Real-world crash data play a vital part in the development of safer transport since information on crash data is essential as a means of understanding where and why crashes occurred in the past and how the occurrence of similar events may be prevented in the future. First step of the development of an effective safety management system is to create reliable crash databases since the quality of decision making in road safety depends on the quality of the data on which decisions are based. Since existing databases show significant drawbacks, which hinder their effective use for safety analysis and improvement, in this paper the authors present the development and evaluation of a web-based software for crash data collection, processing and analysis. The software development was based both on the detailed critical review of existing Australasian, EU, and U.S. crash databases and software as well as on the continuous consultation with the stakeholders. The evaluation was carried out comparing the completeness, timeliness, and accuracy of crash data before and after the use of the software in the town of Vico Equense, in south of Italy. The evaluation phase showed several significant advantages. The time saving was more than one hour per crash, i.e., a 36% reduction. The amount of collected information increased from 82 variables to 268 variables, i.e., a 227% increase. The most valuable benefit of the new procedure was the reduction of the police officers’ mistakes during the manual operations of survey and data evaluation.
Supplemental Notes: This paper was sponsored by TRB committee ANB00 Section - Safety.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-02595
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Montella, AlfonsoChiaradonna, SalvatoreCriscuolo, GiorgioDe Martino, SalvatorePagination: 17p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
(19)
; Tables
TRT Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Safety and Human Factors
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-02595
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:59AM
|