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Project Details

Title:Enhancing Crash Data Reporting to Highway Safety Partners in Wyoming by Utilizing Big Data Analysis and Survey Techniques
Principal Investigators:Anas Alrejjal, Milhan Moomen, and Khaled Ksaibati
University:University of Wyoming
Status:Active
Year:2020
Grant #:69A3551747108 (FAST Act)
Project #:MPC-631
RiP #:01751330
Keywords:crash data, crash rates, crash reports, crash severity, data analysis, highway safety, human factors in crashes, needs assessment, partnerships, state government agencies, surveys
 

Abstract

Crash reporting forms are an integral part of any system aimed at improving traffic safety. Reliable and accurate data generated from crash reports are needed to diagnose safety problems, identify factors impacting crashes, implement countermeasures, and monitor performance. In Wyoming, crash reporting is done by the Wyoming Department of Transportation (WYDOT). The reports are then distributed to safety partners who also contribute to safety in the state. However, there is a gap between the data expectations of the safety agencies and what is being provided by WYDOT in terms of type and quality. This research aims to identify the safety needs of traffic safety partners in Wyoming and to make recommendations on improving crash reporting. Also, the study will identify human factors that significantly impact crash severity and frequency using big data analysis. An analysis of the reporting intervals of important human factors will then be determined.

Project Word Files

NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050
(701)231-7767ndsu.ugpti@ndsu.edu