Principal Investigator: Sanjay Ranka
Sponsor: National Science Foundation
Start Date: May 1, 2019
End Date: April 30, 2023
Amount: $1,999,770
Abstract
The goal of this project is to further the ability of cities and communities to deploy technology that saves lives through safer transportation systems. The approach is to create open source analytics solutions to enable novel transportation applications that utilize data from low-cost video sensors. Video data are processed using edge computing (inexpensive computing hardware that performs analysis without storing significant amounts of data) in order to reduce the amount of data stored. Social dimensions of the research project emerge from the deep research partnership between the City and the University, with the goal to provide replicable and near-term social impacts. The project aligns with the Vision Zero concept to reduce traffic fatalities, with programs that are based on education, enforcement and design. By understanding the risk profile of an intersection through automated detection of near miss events, communities will be able to proactively design and alter streets and intersections to be safer.
More Information: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1922782&HistoricalAwards=false