TRB Workshop on Doctoral Research in Transportation Modeling and Travel Behavior
The workshop is organized in four parts with five to six presentations each:
Part 1 (1:30 PM to 2:28 PM): Stated Preference Surveys, Transport Network Companies & Autonomous Driving
Part 2 (2:28 PM to 3:24 PM): Emissions, Travel Demand & Freight
Part 3 (3:24 PM to 4:12 PM): Transit Analyses
Part 4 (4:12 PM to 5:00 PM): Machine Learning & Traffic Analyses
Every doctoral researcher will give a 5 min lightning talk (plus one minute for transition between presenters) to introduce their topic. At the end of each part, there will be 18 to 20 minutes for debate led by an expert in the respective area of research.
Agenda
| 1:30-1:40 | Rolf Moeckel & Pat Mokhtarian | Technical University of Munich & GeorgiaTech | Welcome note |
Part 1: Stated Preference Surveys, Transport Network Companies & Autonomous Driving
| Time | Presenter | University | Presentation Title | Adviser |
|---|---|---|---|---|
| 1:40-1:46 | Stinson, Monique | University of Illinois at Chicago | Supply Side Effects of the Sharing Economy: Household Vehicle Ownership as an Investment Decision | Abolfazl (Kouros) Mohammadian |
| 1:46-1:52 | Nie, Qifan | University of Alabama | Preparing College Towns for Shared Mobility with Autonomous Vehicles | Jun Liu |
| 1:52-1:58 | Reck, Daniel | ETH Zurich, Switzerland | Modelling shared e-scooters in Louisville, Kentucky: A spatial regression approach | Kay W. Axhausen |
| 1:58-2:04 | Dey, Bibhas Kumar | University of Central Florida | Advanced Econometric Models for Modeling Flows: Application To Shared Economy | Naveen Eluru |
| 2:04-2:10 | Dias, Felipe | The University of Texas at Austin | Traveler responses to ride-hailing and autonomous vehicles: Understanding the forces that will shape the future of transportation | Chandra Bhat |
| 2:10-2:28 | Debate | Discussant: | Dr. Venu Garikapati (National Renewable Energy Laboratory) | |
| ............... | ||||
Part 2: Emissions, Travel Demand & Freight
| Time | Presenter | University | Presentation Title | Adviser |
|---|---|---|---|---|
| 2:28-2:34 | Logan, Kathryn | The University of Aberdeen, UK | Investigating the Impact of the Electrification of Transport to Reduce Carbon Emissions on Natural Capital | Astley Hastings |
| 2:34-2:40 | Ankomah, Marian | University of Florida | An Analysis of Transportation Demand Patterns in Ghana | Siva Srinivasan |
| 2:40-2:46 | Ton, Danique | Technical University Delft, The Netherlands | Unravelling Mode and Route Choice Behaviour of Active Mode Users | S.P. Hoogendoorn |
| 2:46-2:52 | Savadogo, Ibrahim | Université de Lyon, France | Sustainable urban logistics: issues and impacts of economic, organizational and environmental optimization | Charles Raux |
| 2:52-2:58 | Karak, Aline | Southern Methodist University | The Hybrid Vehicle-Drone Routing Problem for Pick-up and Delivery Services | Khaled Abdelghany |
| 2:58-3:04 | Ballare, Sudheer | University of Illinois at Chicago | Investigation in Crowdshipping Enabled Last-mile Urban Delivery Paradigms | Jane Lin |
| 3:04-3:24 | Debate | Discussant | Dr. Aruna Sivakumar (Imperial College London) | |
| ............... | ||||
Part 3: Transit Analyses
| Time | Presenter | University | Presentation Title | Adviser |
|---|---|---|---|---|
| 3:24-3:30 | Narayan, Jishnu | Technical University Delft, The Netherlands | On-demand public transport systems: Service design and impact on urban mobility | S.P. Hoogendoorn |
| 3:30-3:36 | Ravindra, Rejitha Nath | Monash University, Australia | Improving Multi-modal Public Transport Timetable Coordination: A Holistic Approach | Mark Wallace |
| 3:36-3:42 | Zhu, Yongqiu | Technical University Delft, The Netherlands | Passenger-Oriented Timetable Rescheduling in Railway Disruption Management | Rob M.P. Goverde |
| 3:42-3:48 | Luo, Ding | Technical University Delft, The Netherlands | Data-driven Analysis and Modeling of Passenger Flows and Service Networks for Public Transport Systems | Hans van Lint |
| 3:48-3:54 | Aston, Laura | Monash University, Australia | Built Environment Predictors of Transit Ridership by Mode | Graham Currie |
| 3:54-4:12 | Debate | Discussant: | S. Ilgin Guler (The Pennsylvania State University) | |
| ............... | ||||
Part 4: Machine Learning & Traffic Analyses
| Time | Presenter | University | Presentation Title | Adviser |
|---|---|---|---|---|
| 4:12-4:18 | Sfeir, Georges | American University of Beirut | Integration of Machine Learning and Discrete Choice Models to Better Predict and Describe Decision Makers’ Choices | Maya Abou-Zeid |
| 4:18-4:24 | Ma, Wei | Carnegie Mellon University | Statistical Inference of Spatio-Temporal Transportation Networks through Large-scale Multi-source Data | Sean Qian |
| 4:24-4:30 | Krisnakumari, Panchamy | Technical University Delft, The Netherlands | Multiscale Pattern Recognition of Transport Network Dynamics and its Applications | Hans van Lint |
| 4:30-4:36 | Yao, Shengyue | Technical University of Braunschweig, Germany | Modelling and Managing Connected and Automated Vehicle Platoon Dynamics in Mixed Traffic: a Human-leading Strategy | Bernhard Friedrich |
| 4:36-4:42 | Brooks-Tyreman, Frank | University of Bristol, UK | A new model for platooning and overtaking on single-lane roads | R. Eddie Wilson |
| 4:42-5:00 | Debate | Discussant: | Dr. Rick Donnelly (WSP, Inc.) | |
| ............... |