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131 * ! Mon, 8/3/2020, 1:00 PM - 2:50 PM Virtual
The Future of Transportation: The Predicting Power of Driver Behavior Data — Topic Contributed Papers
Transportation Statistics Interest Group
Organizer(s): Linda Ng Boyle, University of Washington
Chair(s): Feng Guo, Virginia Tech Transportation Institute
1:05 PM Assessing Drivers' Collision Risk with Fleet Telematics: A Case-Study from South Korean Car Rental Operations
Davide Gentile, University of Toronto; Dongsoon David Min, SK Networks; Trevor Waite, University of Toronto; Birsen Donmez, University of Toronto
1:25 PM Predicting Driver Behavior at a Crosswalk Using Kinematic Time-Series Data
Huizhong Guo, University of Washington; Linda Ng Boyle, University of Washington
1:45 PM Using Inverse Reinforcement Learning to Predict the Impact of Distraction on Future Driver Performance
Mayuree Binjolkar, University of Washington; Linda Ng Boyle, University of Washington
2:05 PM Ride-Hailing Driver Risk Assessment
Chen Qian
2:25 PM Discussant: Birsen Donmez, University of Toronto
4:45 PM Floor Discussion