• Transportation Research Board

      TRB 98th Annual Meeting

      January 13–17, 2019

    • Interactive Program


Annual Meeting Event Detail

Lectern Session 841

Machine Learning Methods for Crash Prediction and Safety Analysis

Wednesday 2:30 PM- 4:00 PM
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Haizhong Wang, Oregon State University, presiding
Sponsored by:
Standing Committee on Artificial Intelligence and Advanced Computing Applications (ABJ70)

This session presents methods for examining the behavior of distracted driving, predicting crashes and their severity, detecting aggressive and unsafe driving behavior, and sensing the environment for collision avoidance in advanced driver assistance systems.  The applications demonstrate the use of machine learning tools such as random forests, convolutional neural networks, deep belief neural networks, clustering techniques, and others.

No agenda available

Title Presentation Number
Beyond Grand Theft Auto V for Training, Testing, and Enhancing Deep Learning in Self-Driving Cars
Mark Martinez, Princeton University
Chawin Sitawarin, Princeton University
Kevin Finch, Princeton University
Lennart Meincke, NordAkademie
Alexander Yablonski, Princeton University
Alain Kornhauser, Princeton University
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Classification of Distracted Driving Based on Visual Features and Behavior Data Using a Random Forest Method
Xiaohua Zhao, Beijing University of Technology
Ying Yao, Beijing University of Technology
Hongji Du, Beijing University of Technology
Yunlong Zhang, Texas A&M University
Jian Rong
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An Improved Deep Belief Network Model for Road Safety Analyses
Guangyuan Pan, University of Waterloo
Liping Fu, University of Waterloo
Lalita Thakali, University of Waterloo
Matthew Muresan, University of Waterloo
Ming Yu, University of Waterloo
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Mobile Sensing and Machine Learning for Identifying Driving Safety Profiles
Eleni Mantouka, National Technical University of Athens (NTUA)
Emmanouil Barmpounakis, National Technical University of Athens (NTUA)
Eleni Vlahogianni, National Technical University of Athens (NTUA)
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Adaptable Advanced Driver Assistance Systems (ADASs)
Anthony Ohazulike, Hitachi Europe SAS
Show Abstract