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Title:Enhancing Crash Data Reporting to Highway Safety Partners in Wyoming by Utilizing Big Data Analysis and Survey Techniques
Authors:Ahmed Farid, Sahima Nazneen, Khaled Ksaibati, and Mohammad Mahdi Rezapour
University:University of Wyoming
Publication Date:Sep 2022
Report #:MPC-22-482
Project #:MPC-631
TRID #:01843616
Keywords:crash data, data analysis, data quality, data sharing, highway safety, surveys
Type:Research Report – MPC Publications

Abstract

Road safety is a crucial topic of transportation engineering. The Wyoming Department of Transportation (WYDOT) collects such data from police crash reports and roadway inventories. WYDOT also provides those data to its partner groups in the form of data records or summary statistics documented in periodical reports. The groups include the Wyoming Seat Belt Coalition, the Wyoming Highway Patrol, the Wyoming Association of Sheriffs and Chiefs of Police, the Wyoming Transportation Safety Coalition, the Governor's Council on Impaired Driving, Wyoming's counties, the Wyoming Bicycle and Pedestrian System Task Force, and motorcycle groups. In this research, surveys were prepared, distributed to, and collected from those groups asking about the quality of the data they receive from WYDOT, particularly when it comes to data provision frequencies and unreported data that would be beneficial to those groups. In addition, big data analyses were conducted to evaluate human factors influencing crash occurrences and data provision frequencies. This research's efforts culminated in lists of recommendations to WYDOT regarding the provision of higher quality data at appropriate frequencies to its partners.

How to Cite

Farid, Ahmed, Sahima Nazneen, Khaled Ksaibati, and Mohammad Mahdi Rezapour. Enhancing Crash Data Reporting to Highway Safety Partners in Wyoming by Utilizing Big Data Analysis and Survey Techniques, MPC-22-482. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2022.

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