4 papers
Integrating Spatial and Temporal Effects in Seat-Belt Compliance Assessment with Telematics Data
Ashutosh Dumka, Raghupathi Kandiboina, Skylar Knickerbocker +3
Seat belt use remains one of the most effective measures for reducing vehicle occupant fatalities and injuries. Yet, seat-belt compliance across different locales demands far more…
Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment
Sudesh Bhagat, Raghupathi Kandiboina, Ibne Farabi Shihab +3
Road traffic crashes are a significant global cause of fatalities, emphasizing the urgent need for accurate crash data to enhance prevention strategies and inform policy developmen…
Machine learning framework for end-to-end implementation of Incident duration prediction
Smrithi Ajit, Varsha R Mouli, Skylar Knickerbocker +1
Traffic congestion caused by non-recurring incidents such as vehicle crashes and debris is a key issue for Traffic Management Centers (TMCs). Clearing incidents in a timely manner…
Massively Parallelizable Approach for Evaluating Signalized Arterial Performance Using Probe-based data
Subhadipto Poddar, Pranamesh Chakraborty, Anuj Sharma +2
The effective performance of arterial corridors is essential to community safety and vitality. Managing this performance, considering the dynamic nature of demand requires updating…