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Transportation Network Optimization Workshop

Monday, March 10, 2014 to Tuesday, March 11, 2014

ARPA-E held a workshop aimed at identifying transformational research and development opportunities for transportation network optimization. Mobile communications linked to GPS systems are transforming the American transportation grid. At the heart of the transformation is an explosion of information that can be used by technologists, governments, and consumers to make more intelligent and efficient choices, paving the road for more intelligent vehicles, driving toward more intelligent highways and public transportation systems, and expanding the transportation options for individuals. However, as these information systems become more pervasive, the interaction between agents (individuals, vehicles, and modes) becomes increasingly significant and unpredictable.

The workshop envisioned the innovative technological approaches and scientific advances that will be needed to collect, analyze, and distribute information to and from transportation agents, to provide a more optimized and dynamically responsive travel grid that is capable of rapid adaptations through non-monetary, individualized incentives. This workshop seeded the development of transformational approaches to network modeling that can predict the consequences of such incentives, as well as the identification and quantification of appropriate incentives strategies.

This two-day workshop was held on Monday & Tuesday, March 10-11, 2014 in San Francisco, CA. Approximately 40-50 experts from academia, national/federal labs, and industry participated. Information gained from the workshop will assist ARPA-E leadership in the development of potential programs and funding opportunities which target key technological roadblocks relevant to the ARPA-E mission.

Day 1: Morning Session

ARPA-E Introduction 

Dr. Eric Rohfling, ARPA-E 

Conceptual Overview

Dr. Jonathan Burbaum, ARPA-E 

Challenges & Opportunities in Traffic Data        

Mr. Rick Shuman, Inrix 

Challenges and Opportunities in Transportation Modeling            

Dr. H. Michael Zhang, University of California - Davis 

Agent-Based Methods for Transportation Network Optimization           

Dr. Lei Zhang, University of Maryland

Principles of applied psychology to incentivize individual choices

Dr. K. Carrie Armel, Stanford University 

Day 1: Morning Breakout Sessions

Traveler & Traffic Data

Group 1

Transportation Network Models & Optimization

Group 2

Incentives & Data Presentation

Group 3

Day 1: Afternoon Session

Emerging Privacy Issues in Traveler Data

Mr. Yves-Alexandre de Montjoye, MIT Media Lab

Advances in Network Modeling

Dr. John Doyle, CalTech

Applications of Behavioral Economics in Transportation Decisions

Ms. Kristen Berman, Irrational Labs

Day 1: Afternoon Breakout Sessions

Modeling & Incentives

 Group 1: Breakout Feedback

Data & Incentives

 Group 2: Breakout Feedback

Data & Modeling

 Group 3: Breakout Feedback

Day 2: Morning Session

Emerging Business Models in Transportation Apps

 Dr. Balaji Prabhakar, Urban Engines

Challenges in Monetizing Transportation Data

 Ms. Monali Shah, HERE

Discussion of Business Models

 Mr. Josh Gould, ARPA-E Technology-to-Market Advisor