Comprehensive Roadway Safety Data Visualization and Evaluation Platform for Yakama Nation [supporting datasets]
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2022-03-31
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Alternative Title:AI-Group-STAR-Lab-UW / yakama-nation-roadway-safety-data-portal
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Abstract:Funded by the US Department of Transportation’s Safety Data Initiative (SDI), the Yakama Nation Department of Natural Resources (DNR) Engineering collaborated with the Smart Transportation Application & Research Laboratory (STAR Lab) at University of Washington to develop a comprehensive roadway safety data visualization and evaluation platform to support Yakama Nation government’s policy and decision making. Safety related datasets, including collision records (collision, vehicle, occupant, pedestrian), roadway characteristics (roadlog, curve and grade, ramp, traffic information, special-use lane, etc.) were collected, cleaned, and stored to the database. The multi-source database management system supports data collection, quality control, integration, database management, visualization, analytical results, etc. Besides efficient data management, the safety tool includes analytical and visualization functions, including crash data visualization, hotspot identification, and screening the network based on crash type, frequency, severity and estimated risks, reporting, and safety data download.
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