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The 2020 ITM Conference will focus on four themes the organizers believe are necessary to improve the state of travel forecasting:
Techniques and strategies to assess, acquire, process, analyze, and validate use data of increasing volumes, from heterogeneous sources, some with restrictions, alone or in combination with more traditional data sources. How do we correctly, safely, and expediently select, expand and analyze from the many fire-hoses?
Articulating strengths, weaknesses, and appropriate roles of data-driven vs behavior-driven models. How do they potentially work together?
Developing forecasts with useful representations of risk and uncertainty. How do we assess/evaluate how well we did with presenting a decision-space (as opposed to validation of existing behavior?).
Getting there in the real world
Institutional structures and technology transfer in order to use the most appropriate tools and techniques in real world applications within a time-frame that is helpful to decision-making.
Cynthia Chen, University of Washington [co-chair]
Elizabeth Sall, UrbanLabs LLC [co-chair]
Jennifer Weeks, Transportation Research Board
Ram Pendyala, Arizona State University
Rolf Moeckel, TU Munich
Rick Donnelly, WSP Inc.
Greg Erhardt, University of Kentucky
Guy Rousseau, Atlanta Regional Commission
Billy Charlton, TU Berlin
Leah Flake, RSG Inc
Rachel Copperman, Cambridge Systematics Inc
Liming Wang, Portland State University
Mohamed Salah Mahmoud, Translink
Stacey Bricka, consultant
Julie Dunbar, Dunbar Consulting
Andisheh Ranjbari, University of Washington
Cathy Wu, Microsoft Research AI and MIT
Aruna Sivakumar, Imperial College
Brian Gardner, FHWA
Josie Kressner, Transport Foundry
Tara Weidner, Oregon DOT
Natarajan Janarthanan Washington State DOT
Sijia Wang, WSP
Karthik Konduri, Amazon
Xuesong Zhou, ASU
Brian Lee, PSRC
Transportation Research Board
Standing Committee on the Travel Forecasting Resource (ADB45)
[-subject to change-]
Each attendee will be assigned a participating role, either as a presenter, moderator, or discussant.
Robert Lempert is a principal researcher at the RAND Corporation and Director of the Frederick S. Pardee Center for Longer Range Global Policy and the Future Human Condition. His research focuses on risk management and decision-making under conditions of deep uncertainty, with an emphasis on climate change, energy, and the environment. Dr. Lempert is a chapter lead author for the United Nation’s Intergovernmental Panel on Climate Change (IPCC), and he wrote the book on decision making under uncertainty — literally.
His insights into robust decision making have formed the foundation of travel modeling community’s recent efforts to develop more useful forecasts that account for risk and uncertainty in a systematic, quantitative manner, including a lot of the work we will discuss at ITM. He has extensive experience in communicating complex technical issues in an approachable manner, and we look forward to learning from his experience and global leadership on transforming uncertainty into opportunity, vulnerability into resilience, and abstract models into concrete results.
Many thanks to Jeffrey Newman for making this keynote happen.
Types of Sessions
These are brainstorms, and will be informed by submissions received
Lecture on a foundational topic important for travel analysis, but one which either does not have a broad understanding in the field or whos general understanding should be updated.
Open-laptop tutorials where participants can code-along, software-carpentry style.
Debate on an approach, innovation, or hot topic in the industry.
A riff on a 'stack share' to share effective processes you use to get work done, and highlight gaps.
Discussions on Innovations
Presentations with synopses of longer-format papers (which hopefully everyone has read). Assigned discussants who have researched each innovation ahead of will offer feedback and get the discussion rolling.
The Transportation Research Board (TRB) Innovations in Travel Modeling (ITM) conference series has become the leading venue for researchers and practitioners to come together and discuss, debate, and share information about advances in travel analysis and modeling methods. The ITM conference series is intended to bridge the gap between research and practice and help accelerate the deployment of new methods, tools, technologies, and algorithms in freight and passenger travel forecasting model systems.
The conference series was launched in 2006 and is held every other year.