Exploration of Alternative Spatio-Temporal Methods of Traffic Safety Network Screening
The roadway system represents a major investment and valuable resource that enables mobility and accessibility to users. With rising costs, tight budgets, and limited resources, agencies seek techniques to identify critical mobility and safety concerns, manifested through federal encouragement to increase safety data collection, analysis, and implementation. Network screening methods exist, both historical and recent, with all the methods relying on connection of crashes to the roadway network. Historically, this has been accomplished through assignment of crashes to the network. More recently, methods have been developed that first analyze the spatiotemporal nature of crashes and then connect the resultant clusters to the network. Because the methods either rely on arbitrary network typologies or ignore the network, cohesive screening results may not be provided. The research team will explore geographic information system (GIS) and spatiotemporal analysis techniques which rely on the crash locations and densities with a coincident network connection. The team will examine spatial proximity constrained by the network to form crash distributions and analyze these for distributional clustering. Network characteristics will be included during distribution and cluster development. The goal is to develop a method that produces an efficient and effective means of crash cluster identification. Crash typology distributions and clusters will also be analyzed.
Language
- English
Project
- Status: Active
- Funding: $144906
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Contract Numbers:
69A3551747108
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
North Dakota State University
Fargo, ND United States 58108 -
Project Managers:
Tolliver, Denver
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Performing Organizations:
Dept. of Civil and Environmental Engineering
South Dakota State University
Brookings, SD United States -
Principal Investigators:
Pawlovich, Michael
- Start Date: 20200608
- Expected Completion Date: 20240731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-627
Subject/Index Terms
- TRT Terms: Cluster analysis; Geographic information systems; Network analysis (Planning); Spatial analysis; Traffic crashes; Traffic safety
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01743853
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: Jun 23 2020 4:30PM