A Real-Time Proactive Intersection Safety Monitoring System Based on Video Data

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CAIT project no.: CAIT-UTC-REG53

Fiscal Year: 2020/2021

Status: Final

Principal investigator(s): Mohammad Jalayer, Ph.D. (PI), Rowan University

Performing organization(s): Rowan University

Managing organization: CAIT Rutgers

In cooperation with: NJ Division of Highway Traffic Safety
Partner project manager: Joseph Weiss, Transportation Safety Analyst

Supported by: USDOT-OST-R

UTC, grant, or agreement no.: 69A3551847102


The primary goal of this proposal is to develop and assess an innovative real-time proactive safety monitoring system based on the trajectory of road users (e.g., cars, pedestrians, and cyclists) collected by video cameras. The results of this project will provide a great opportunity for transportation agencies to rank and score intersections based on the analyzed data.

The intended outcome of the project is to provide appropriate safety solutions to reduce intersection-related crashes and incidents and consequently reduce traffic congestion. As part of the implementation and training plan, the team will also conduct up to two briefings to agency officials to emphasize the findings and the recommendations of the research. The developed real-time monitoring tool will be readily available to be deployed to existing transportation infrastructure operated by transportation agencies.