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131 * !
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Mon, 8/3/2020,
1:00 PM -
2:50 PM
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Virtual
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The Future of Transportation: The Predicting Power of Driver Behavior Data — Topic Contributed Papers
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Transportation Statistics Interest Group
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Organizer(s): Linda Ng Boyle, University of Washington
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Chair(s): Feng Guo, Virginia Tech Transportation Institute
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1:05 PM
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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
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1:25 PM
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Predicting Driver Behavior at a Crosswalk Using Kinematic Time-Series Data
Huizhong Guo, University of Washington; Linda Ng Boyle, University of Washington
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1:45 PM
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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
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2:05 PM
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Ride-Hailing Driver Risk Assessment
Chen Qian
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2:25 PM
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Discussant: Birsen Donmez, University of Toronto
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4:45 PM
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Floor Discussion
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