Co-Sponsored by SAMSI and the ASA Transportation Statistics Interest Group
The registration deadline was December 1, 2020.
This past spring, the pandemic interrupted some of the activities of the SAMSI program on Games, Decisions, Risk, and Reliability. To round out that program, the working group on Transportation Statistics has organized a two-day virtual workshop on Dec. 7/8, 2020. The primary focus of the workshop is on safety and autonomous vehicles, but other topics adjacent to those fields will be covered.
This workshop is co-sponsored by the American Statistical Association’s Transportation Statistics Interest Group.
Confirmed Speakers:
Anjishnu Banerjee, Medical College of Wisconsin
William Caballero, United States Air Force
Qi Alfred Chen, University of California Irvine
Eric Donnell, Pennsylvania State University
Feng Guo, Virginia Tech
Cem Hotipoglu, NHTSA
Linda Ng Boyle, University of Washington
David Rios Insua, IMAT
Vadim Sokolov, George Washington University
Rakesh Verma, University of Houston
Dawn Woodard, Uber
Fanyou Wu, Purdue University
Monday, December 7th
Virtual – Eastern Standard Time (NY)
9:45 Welcome and Opening Remarks, David Banks, SAMSI Director
10-10:30 Cem Hotipoglu, NHTSA
Automated Driving Systems Research at NHTSA
10:30-11 Eric Donnell, Pennsylvania State University
Data-driven Approaches to Traffic Safety
11-11:30 Feng Guo, Virginia Tech University
Driving Risk Assessment via High-Frequency, High-Resolution Telematics Data
11:30-12:00 Anjishnu Banerjee, Medical College of Wisconsin
Injury Risk Assessments in Autonomous and Semi-Autonomous Motor Vehicle Impact Crashes
12:00-1:00 Break
1:00-1:30 Dawn Woodard, Uber
Statistical Efficiency of Travel Time Prediction
1:30-2:00 Linda Ng Boyle, University of Washington
Appropriate Allocation of Driver’s Attention Given Increasingly Autonomous Systems
2:00 pm Adjourn
Tuesday, December 8th
Virtual – Eastern Standard Time (NY)
9:45 Updates and Brief Announcements
10-10:30 David Rios Insua, ICMAT-CSIC
Managing Driving Modes in Autonomous Driving Systems
10:30-11 Vadim Sokolov, George Washington University
Bayesian Analysis of Traffic Flow Data
11-11:30 Fanyou Wu, Purdue University
Some Experience about Machine Learning Competitions – using KDD CUP RL track as an example
11:30-12:00 Rakesh Verma, University of Houston
Adversarial Machine Learning for Images and Text Data
12:00-1:00 Break
1:00-1:30 William Caballero, USAF
Decision Support Issues in Autonomous Driving Systems
1:30-2:00 Qi Alfred Chen, University of California, Irvine
Towards Secure and Robust Autonomy Software in Autonomous Driving
2:00 pm Adjourn
Questions: email [email protected]