Development of Safety Performance Functions for California -Type 2, Advanced
This study will highlight for the California Department of Transportation (Caltrans) the value of roadway and roadside data inventories in the improvement of safety predictions for various crash types in addition to total crashes. This will in turn help the department develop targeted programs for injury prevention and reduction using sound geometric basis in addition to Average Daily Traffic (ADT) information. The long-term benefit of this approach is that the utility of roadway and roadside design data can provide insights into optimal design policies for Caltrans, while maintaining a progressive trajectory toward near-zero fatal targets on high-priority corridors on the state system.
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Supplemental Notes:
- Contract to a Performing Organization has not yet been awarded.
Language
- English
Project
- Status: Proposed
- Sponsor Organizations: Sacramento, CA United States 95819
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Project Managers:
Kwong, Jerry
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Principal Investigators:
Shankar, Venky
- Start Date: 20140630
- Expected Completion Date: 20160629
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Average daily traffic; Crash injuries; Crash risk forecasting; Data analysis; Geometric design; Highway safety; Mathematical prediction; Policy; Prevention; Traffic crashes
- Identifier Terms: California Department of Transportation
- Geographic Terms: California
- Subject Areas: Data and Information Technology; Design; Highways; Policy; Safety and Human Factors;
Filing Info
- Accession Number: 01614911
- Record Type: Research project
- Source Agency: California Department of Transportation
- Files: RIP, STATEDOT
- Created Date: Oct 25 2016 10:31AM