Summer Program on Transportation Statistics

Location

This workshop will be held at Information Initiative @ Duke (iiD), West Campus, Duke University.

Description

The SAMSI summer program on transportation statistics will focus on research problems in the areas of safety, pollution, flow modeling, driverless cars, and other vehicle topics. Working with DOT administrators and DOT datasets, the working groups will develop statistical analyses that address the problems that targeted during the first half of the program.

NOTE: Planning for this event is ongoing. For further questions about this program, please send questions to the email address listed below.

Schedule and Supporting Media

Printable Schedule
Speaker Abstracts

Monday, August 14, 2017
Information Initiative @ Duke (iiD), West Campus, Duke University

Description Speaker Slides Videos
Introductions and Welcome David Banks, Duke University
Why Highway Crashes Have Recurring Patterns? Roya Amjadi, U.S. Federal Highway Administration
Statistical Issues of Evaluating Traffic Safety Using Naturalistic Driving Study Feng Guo, Virginia Tech
Causal Inference in Traffic Safety Studies Fan Li, Duke University
Application of Spatio-Temporal Methods to Identify Crash Prone Speed Conditions on Limited Access Roadways John Ivan, University of Connecticut
Trajectory-based Regression Approach to Predict Real-Time Traveler Information Using Crowdsourced Location Traces Karthik Konduri, University of Connecticut
Dynamic Modeling of Transportation Data Nalini Ravishanker, University of Connecticut
Presentation on USDOT Datasets

Tuesday, August 15, 2017
Information Initiative @ Duke (iiD), West Campus, Duke University

Description Speaker Slides Videos
Causal Inference in Transportation Safety Studies: Comparison of Potential Outcomes and Causal Diagrams Vishesh Karwa, Harvard University
Bayesian Analysis of Multivariate Crash Counts Using Copulas Eun Sug Park, Texas A&M University
Efficient Planning in Large Spatio-temporal Decision Problems Eric Laber, N.C. State University
Evaluating Safety in Self-driving Cars: data and analytical challenges Carol Flannagan, University of Michigan
Using Multifidelity Methods to Estimate the Risk Associated with Transportation Systems Erik Schlicht, Computational Cognition Group, C2-g (Remote)
Injury Risk Curves from Impact Biomechanical Experiments for Risk Analysis in Motor Vehicle Crashes Anjishnu Banerjee, Medical College of Wisconsin
Application of Bootstrap for Transportation Safety Study Jiguang Zhao, CH2M Hill
Reception and Poster Session

Wednesday, August 16, 2017
Information Initiative @ Duke (iiD), West Campus, Duke University

Description Speaker Slides Videos
Statistical and Data Issues for Automatic Driving Safety Analysis and Research Chou-Lin Chen, National Highway Traffic Safety Administration
Modeling the Impact of Driverless Cars on Traffic and Parking Galen Reeves, Duke University
What about the Driver in Driverless Cars? Victoria Nneji, Duke University
Improving Motor Carrier Safety Measurement Sharon-Lise Normand, Harvard University
Measurement Effects of Aging on Physical Properties of Pressurized Aging Vessel Residue Jim Rosenberger, Pennsylvania State University
Understanding and Evaluating Predictive Crash Models Mike Porter, University of Alabama
Establishment of Working Groups

Thursday, August 17, 2017
Information Initiative @ Duke (iiD), West Campus, Duke University

Description Speaker Slides Videos
Working Groups Meet

Friday, August 18, 2017
Information Initiative @ Duke (iiD), West Campus, Duke University

Description Speaker Slides Videos
Working Groups Report
Adjourn and Shuttle to RDU Airport

Questions: email transtats@samsi.info