Grants and Contracts Details
The objective of this research is to leverage existing V2I datasets to link high resolution traffic performance and weather information data to safety performance data. This high resolution dataset can then be used to identify weather, geometric and operational conditions that may lead to increased crash rates. By identifying potential high crash conditions, future efforts can then identify alternative operational control strategies that may mitigate adverse conditions, or even send advisory information to drivers, provide alternative routing or call for alternative vehicle operating characteristics such as following distances, in a fully connected V2V environment. This project will assist in the development of understanding these relationships by leveraging high resolution operational condition data from a city-wide deployment of BlueToad devices in Lexington, KY (Figure 2), joined with individual crash records for the study period and hour by hour historical weather data from Automated Surface Observation System (ASOS) datasets.
|Effective start/end date
|6/1/16 → 9/30/18
- University of Tennessee: $50,000.00
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