TSL Conference 2023

Second TSL Conference (Chicago, 2023)

INFORMS Transportation and Logistics Society

Second Triennial Conference

Hosted at Loyola University Chicago
Chicago, Illinois, USA
July 23 – 26, 2023

The Transportation Science and Logistics Society Conference has been created to provide an opportunity for all members to gather on a triennial basis to present and to discuss the state-of-the-art in transportation science and logistics.  

 

Call for Abstracts

The conference welcomes abstracts on all transportation science and logistics topics including but not limited to air transportation, facility logistics, freight transportation and logistics, intelligent transportation systems, and urban transportation planning and modeling.  Abstracts that explore new problems or address major societal challenges such as aging, equity, and the environment are highly encouraged. 

Submission

Abstracts should be 3-4 pages in length.  To ensure all presentations are of the highest quality, abstracts should highlight the main contributions of the research and include outcomes of computational studies, if applicable.  You are encouraged to use the conference template. Click here to access the template.

Submissions should be made via EasyChair. Choose “TSL 2023” as the event.

Dates of interest:

  • Abstract submission deadline: December 1, 2022 EXTENDED: December 15, 2022
  • Notification of acceptance: February 1, 2023
  • Deadline for early registration: April 3, 2023
  • Conference: July 23 – 26, 2023


Registration:

Early Bird Registration (before April 4, 2023): $550
Student Early Bird Registration (before April 4, 2023): $150
Regular Registration: $650
On-site Registration: $700
Student Registration: $250
NON-TSL members (except guests add $25 to each registration fee above.

  

All registrations include lunches for three days of the conference, an opening reception on Sunday, July 23, and the conference dinner on the evening of Tuesday, July 25.

All conference attendees are required to agree to INFORMS Meeting Code of Conduct.

The goal is to keep the conference small enough for deep interactions and large enough to accommodate the TSL Society's wide interests.  With this in mind, there may be at most one paper presentation per registered presenter.  Each presentation must be accompanied by at least one full paid registration.

Program:  The conference will be organized around a small number of parallel tracks.  The conference will also include plenaries and sessions designed specifically for PhD students.

PhD Student Travel Support: The United States National Science Foundation has granted the conference 30 $1000 scholarships to support the travel of PhD students currently studying at North American universities.  Flexport, a multinational corporation that focuses on supply chain management and logistics, has agreed to sponsor travel grants of up to $500 for 6 students studying at Universities outside US. Application details can be found here.

Social agenda: In addition to a broad look at the future of transportation, this workshop will provide numerous opportunities to network with colleagues and establish new working relationships. 

There will be a welcome reception on Sunday evening, and the conference dinner on Tuesday evening.

Lunches will be provided on site each day of the conference. 

Venue: The conference will be held on the Campus of Loyola University at the Quinlan School of Business (https://www.luc.edu/quinlan/).   The Campus is in downtown Chicago, just off Michigan Avenue. 

GPS Address (for mobile devices and Google maps): 16 E Pearson St, Chicago, IL 60611.

Where to Stay:  INFORMS has partnered with Stay 22 to provide you with all available accommodations (hotels, Airbnbs, etc.)  at the lowest price online. This pricing is equal or better than what you’ll find on any discount travel or hotel website. Book directly with the map below!

View 2023 INFORMS Transportation, Science & Logistics (TSL) Conference hotels and apartments on Stay22.    

Keynote Speakers

The 2023 TSL Conference features two keynote speakers, Dr. Kara Kockelman and Dr. Kristin Lewis:

Dr. Kara Kockelman
Dr. Kara Kockelman
is a registered professional engineer and holds a PhD, MS, and BS in civil engineering, a master’s in city planning, and a minor in economics from the University of California at Berkeley. Dr. Kockelman has been a professor of transportation engineering at the University of Texas at Austin for 25 years. She has authored over 200 journal articles (and two books), and her primary research interests include planning for shared and autonomous vehicle systems, the statistical modeling of urban systems, energy and climate issues, the economic impacts of transport policy, and crash occurrence and consequences. Pre-prints of these articles (and book contents) can be found at www.caee.utexas.edu/prof/kockelman

OPTIMIZATION OPPORTUNITIES AND RESULTS FOR SHARED AUTONOMOUS (AND ALL-ELECTRIC) VEHICLE FLEETS ACROSS U.S. SETTINGS.

Shared autonomous vehicles (SAVs or “driverless taxis”) can complement public transit systems by offering first-mile last-mile connections to line-haul transit. Smart fleets will rely on rapid optimization techniques to improve routing, battery charging, and repositioning decisions in order to deliver more reliable, safe, and cost-effective transportation options.

This presentation will describe how SAV trip requests across the 20-county Chicago region were matched to SAVs, to one another (shared rides), and to time-saving transit stations (for intermodal trips) using routing optimization modules. Joint routing increased transit ridership from 5.4% to 6.3% and SAV utilization levels by 12%, with only a 4% increase in SAV fleet VMT (as compared to routing all SAV trips door-to-door). 

When using all-electric SAEVs, battery-charging decisions become very important for optimal service. A simulation of SAVs serving the 6-county Austin region suggests that optimal SAEV-dispatch decisions lower traveler wait times by 39%, increase fleet use (non-idle periods) by 28%, and lower empty VMT by 1.6% points. If objectives include lowering electricity costs and emissions, optimal charging and dispatch of Austin SAEVs saves $0.79 per SAEV per day on energy costs while avoiding $0.43 in emissions damages. Scheduling charging to lower energy and emissions costs allows each vehicle to serve another trip and net another $8 per day in revenues.

Dr. Kristin Lewis
Dr. Kristin Lewis is the Principal Technical Advisor for energy analysis and sustainability at the U.S. DOT Volpe Center. Her work focuses on transportation, availability, and sustainability of alternative fuels; resilience in transportation; and environmental risk assessments.   Dr. Lewis leads the Resilience and Disaster Recovery Tool Suite project for FHWA and the Office of the Secretary of Transportation, which leverages robust decision-making to estimate return on investment of resilient infrastructure.  She also leads the development of the Freight and Fuel Transportation Optimization Tool, a national model for assessing optimal transport of commodities in a supply chain, which has been sponsored by the FAA, the Office of Naval Research, the Department of Energy (DOE), and the Federal Highway Administration (FHWA).

ENABLING TRANSPORTATION OPTIMIZATION AND RESILIENCE ANALYSES

Transportation infrastructure is critical to freight movements and supply chain performance. Enabling scenario exploration, particularly under potential disruption conditions, is critical to making good decisions about freight movements and resilient infrastructure investments.  Yet there are limited open-source tools available to help supply chain participants and transportation planners evaluate the intersection between transportation infrastructure and freight. Open-source tools using inputs that users typically already possess or can easily acquire are particularly rare for resilience analyses.  The U.S. Department of Transportation has developed two distinct tools to support these kinds of analyses, the Freight and Fuel Transportation Optimization Tool, which optimizes supply chain freight movements across a multimodal transportation network, and the Resilience and Disaster Recovery Tool Suite, which helps estimate transportation network exposure to hazards and evaluate the return on investment for resilience projects aimed at mitigating uncertain future hazard conditions.  Dr. Lewis will discuss the approaches these two tools take to enable transportation optimization and resilience analyses.

SPONSORS:


Flexport (represented by Dr. Richard Chen, Director of Data Science)

Polish National Agency for Academic Exchange
Warsaw School of Economics (represented by Dr. Przemeslaw Szufel)

Organizing Committee

Sibel Alumur Alev – University of Waterloo
Jan Fabian Ehmke – University Vienna
Sandra D. Eksioglu (chair) – University of Arkansas
Mike Hewitt (local chair) – Loyola University Chicago
Barrett Thomas – University of Iowa
Alejandro Toriello – Georgia Institute of Technology

Student coordinator: Sara Reed – University of Kansas

Scientific Committee

Niels Agatz

Erasmus University

 

Gilbert Laporte

HEC Montreal

Sharif Azadeh

Delft University of Technology

 

Jorge Laval

Georgia Tech

Lihui Bai

University of Louisville

 

David Lovell

University of Maryland

Mehdi Behroozi

Northeastern University

 

Monireh Mahmoudi

Michigan State University

Udo Buscher

Dresden University of Technology

 

Lavanya Marla

University of Illinois at Urbana-Champaign

Ann Campbell

University of Iowa

 

Layla Martin

Eindhoven University of Technology

James Campbell

University of Missouri-St. Louis

 

Mohammad Marufuzzaman

Mississippi State University

Joseph Chow

New York University

 

Neda Masoud

University of California Irvine

Catherine Cleophas

University of Kiel

 

Jorge Mendoza

HEC Montréal

Leandro Coelho

Concordia University

 

Pitu Mirchandani

Pitu Mirchandani

Ivan Contreras

Concordia University

 

Maciek Nowak

Loyola University Chicago

Jean-François Cordeau

HEC Montréal

 

Jeff Ohlmann

University of Iowa

Teodor Crainic

University of Quebec in Montréal

 

John Park

North Carolina A&T University

Mathieu Dahan

Georgia Tech

 

Jennifer Pazour

Rensselaer Polytechnic Institute

Iman Dayarian

University of Alabama

 

Warren Powell

Princeton University

Guy Desauliniers

École Polytechnique de Montréal

 

Sara Reed

University of Kansas

Maged Dessouky

University of Southern California

 

Samitha Samarnayake

Cornell University

Zhijie Dong

Texas State University

 

Bruno Santos

Delft University of Technology

Alan Erera

Georgia Tech

 

Max Shen

University of California Berkeley

Ozlem Ergun

Northeastern University

 

Siqian Shen

University of Michigan

Burak Eskioglu

University of Arkansas

 

Karen Smilowitz

Northwestern University

Emma Frejinger

Université de Montréal

 

Larry Snyder

Lehigh University

Song Gao

University of Massachusetts, Amherst

 

Yongjia Song

Clemson University

Michel Gendreau

École Polytechnique de Montréal

 

Senay Solak

University of Massachusetts Amherst

Bruce Golden

University of Maryland

 

Albert Schrotenboer

Eindhoven University of Technology

John Gunnar Carlsson

University of Southern California

 

Jessica Heier Stamm

Kansas State University

Hai Wang

Singapore Management University

 

Przemeslaw Szufel

Warsaw School of Economics

Leila Hajibabai Dizaji

NC State University

 

Marlin Ulmer

Otto-von-Guericke-Universität Magdeburg

Michael Hyland

University of California Irvine

 

Halit Uster

Southern Methodist University

Alexandre Jacquillat

Massachusetts Institute of Technology

 

Vikrant Vaze

Dartmouth College

Ola Jabali

Polytechnic University of Milan

 

Thomas Vossen

University of Colorado Boulder

Burcu Keskin

University of Alabama

 

Tom Van Woensel

Eindhoven University of Technology

Alireza Khani

University of Minnesota

 

Chiwei Yan

University of Washington

Anton Kleywegt

Georgia Tech

 

Baris Yildiz

Koç University

Changhyun Kwon

University of South Florida

 

Yafeng Yin

University of Michigan

Nadia Lahrichi

École Polytechnique de Montréal