2024 Seattle

Sunday, October 20

RAS Student Paper Competition
(Chairs: Nikola Markovic, University of Utah; Erik Wikum, Wikalytics, LLC.)

1. Combining Mixed Integer Programming with Row Generation for Railway Network Capacity Assessment, Christopher Szymula, Nikola Besinovic, Karl Nachtigall; Technische Universität Dresden, Germany.

Manuscript

2. Joint Rolling Stock and Crew Scheduling in Urban Rail Networks, Entai Wang1, Lixing Yang1, Yossiri Adulyasak2, Jean-François Cordeau2, Ziyou Gao1; 1Beijing Jiaotong University, China; 2HEC Montréal, Canada.

3. Integrated Optimization of Train Makeup Problem and Resource Scheduling in Railway Shunting Yards: A Hybrid MILP-CP Approach with Logic-Based Benders Decomposition, Peiran Han1, Lingyun Meng1, Nikola Besinovic2, Xiaojie Luan1; 1Beijing Jiaotong University, China; 2Technische Universität Dresden, Germany.

Manuscript

Railway Timetabling and Demand Forecasting (Chair: Marcella Samà, Roma Tre University, Italy) 
1. Delay risk evaluation in real-time train rescheduling under uncertain dwell times, Marcella Samà1, Marco Pranzo2, Carlo Meloni31Roma Tre University, Italy; 2University of Siena, Italy; 3Sapienza University of Roma, Italy.  Presentation
2.A Fragility-based Approach to Timetable Design, Marta Leonina Tessitore1, Marcella Samà1, Giorgio Sartor2, Carlo Mannino2, Dario Pacciarelli11Roma Tre University, Roma, Italy; 2SINTEF Digital, Oslo, Norway.

3. Collaborative Optimization of Rolling Stock Allocation and Timetable Coordination in a Multi-Modal Rail Network: MILP Formulation and Decomposition-Based AlgorithmJiateng Yin, Beijing Jiaotong University, China.

4. Passenger-oriented rolling stock scheduling in the metro system with multiple depots: Network flow based approaches Entai Wang1, Lixing Yang2, Jiateng Yin2; 1HEC Montreal, Canada; 2Beijing Jiaotong University, China.

Railway Scheduling and Management of Crews, Intermodal, Yards and Networks (Chairs: Stefano Rieppi, Norfolk Southern Railway)
1. Benders Decomposition for Robust Tactical Railway Crew Scheduling, Bart van Rossum1, Twan Dollevoer2, Dennis Huisman1, 1Erasmus University Rotterdam, Netherlands; 2Econometric Institute, Netherlands.
2. An Open-Specification-Based Ecosystem for Optimizing intermodal Freight Transportation, Xuesong Zhou, Arizona State University, USA. 

3. Railcar-to-train Optimization in a Freight Railyard, Ruonan Zhao, Joseph Geunes, Xiaofeng Nie; Texas A&M University, USA.

4.Joint Planning of Passenger and Freight Trains in High-Speed Railway Express System Hangyu Ji, Jiateng Yin, Beijing Jiaotong University, China.
5. Train Service Design Problem with Perceived Headway Consideration and Passenger Flow Allocation for Urban Rail Transit Lines, Max Ng1, Hani Mahmassani1, Omer Verbas2, Taner Cokyasar2, Draco Tong1; 1Northwestern University Transportation Center, USA; 2Argonne National Laboratory, USA.
RAS Problem Solving Competition (Chairs: Xuesong Zhou, Arizona State University, USA)

Maurice Krauth, Dresden University of Technology.

Shuguang Zhan, Hefei University of Technology.

Peiran Han, Beijing Jiaotong University.

Chongshuang Chen, Southwest Jiaotong University.

Monday, October 21
Operations Research and Analytics at BNSF Railway (Chair: Andrea Arias, BNSF Railway)
1. Real time optimization and sequential decision making in railroad hump yard operations

Avnish Malde, Paul Kuhn; BNSF Railway, USA.

Presentation
2. Multi-period network optimization for railroad intermodal networks, Hedieh Ashrafi, Paul Kuhn; BNSF Railway, USA. Presentation
3. Dual-stream, time-space network optimization for resource allocation at railroad intermodal hubs, Dasaradh Mallampati, Vishal Badyal; BNSF Railway, USA. Presentation
4. Resource and capital planning for railroad automotive facilities using simulation, Rajon Pantha, Justin Taylor, Andrea Arias; BNSF Railway, USA. Presentation
5. A Dynamic Programming Algorithm for Intermodal Load Planning, Wenjie Li, April Kuo; BNSF Railway, USA. Presentation
Railway Technology Innovations and Modeling (Chair: Carl Van Dyke, TransNetOpt, USA)
1. Changing Tank Car Markets and Demand Drivers, Daniel Windle, TrinityRail, USA.
2. OR-related fleet modeling approaches at TTX Co., Muhannad Ramahi, TTX Company, USA.
3. Using AI for cleaning of waybills and other data, Daril Vilhena, CEDAR, USA.
4. Parallel Systems' Autonomous Rail Vehicles: Development and Applications, Marty Schlenker, Parallel Systems, USA.  Presentation
RAS Round Table on Railway Service Reliability - Part 1 (Chair: Michael Gorman, University of Dayon, Erik Wikum, Wikalytics, LLC.)

1. Service Design and Rail Reliability, Carl Van Dyke, TransNetOpt, USA. Presentation
2. Reliability from a Yard Perspective, Edwin Kraft, TEMS, Inc.. Presentation
3. Business Imperative to Address Service & Reliability, Sanford Sexhus, Oliver Wyman, USA. Presentation
4. Incorporating reliability into railway operations planning: select real-life applications, Stefano Rieppi, Norfolk Southern Railway, USA. Presentation
5. Service Reliability and Amtrak, Jeremiah Dirnberger, Amtrak, USA. Presentation

RAS Round Table on Railway Service Reliability - Part 2 (Chair: Michael Gorman, University of Dayon, Erik Wikum, Wikalytics, LLC.)

1. Panelist: Carl Van Dyke, TransNetOpt
2. Panelist: Edwin Kraft, TEMS, Inc.
3. Panelist: Sanford Sexhus, Oliver Wyman
4. Panelist: Stefano Rieppi, Norfolk Southern Railway
5. Panelist: Jeremiah Dirnberger, Amtrak

Improving Rail Yard Management (Chair: Marc Meketon, Oliver Wyman)

1. An Operational Perspective on AI Driven Switching Software, Kevin Murphy, Cedar AI, USA.
2. Evaluating Railway Network Dynamics with Multi-yard Simulation and Mainline Interaction, Tyler Dick, Jiaxi Zhao; University of Texas at Austin, USA. Presentation
3. Modeling Rail Yard and Network Operations, Roger Baugher, TrAnalytics, LLC, USA. Presentation
4. Intermodal Terminal Layout Optimization Considering Efficiency and Sustainability, Qianqian Tong, Tyler Dick; University of Texas at Austin, USA.
Tuesday, October 22

Railway Freight Operations and Network Management Optimization and Modelling
(Chairs: Tyler Dick, University of Texas at Austin.)

1. Causal Inference Study on the Impact of Distributed Power on Derailment Severity,

Xinhao Liu1, Chen-Yu Lin2, Christopher Barkan1; 1University of Illinois at Urbana-Champaign, 2National Yang Ming Chiao Tung University (NYCU).

2. Route and Schedule Optimization Method of the Mixed Train with “Empty-Loaded-Train” Service NetworkZhicong Yuan 1, Haiying Li1, Ying Wang1, Jiarui Zhang1, Chao Yu2, 1Beijing Jiaotong University; 2The Hong Kong Polytechnic University.

3. Aggregated Fundamental Diagrams for Rail Traffic Flow,

Han Zheng1, Francesco Corman2; Tyler Dick3, Xuesong Zhou 1, 1Arizona State University, 2Eidgenössische Technische Hochschule (ETH) Zürich; 3University of Texas at Austin

4. Empowering Private Rail Freight Operators: Leveraging Data-Driven Predictive Analytics,

GAURAV KUMAR, University of British Columbia, Vancouver, BC, Canada.


Green House Gas Reduction in the North American Railway Industry
(Chairs: Xuesong Zhou, Arizona State University.)

1. Quantitative Evaluation and Optimization of the Potential Benefits of Battery Electric Locomotives with ALTRIOSDiwen Shi, University of Texas at Austin.
2. IMAGINED: Inter Modal Analytics for Green Infrastructure Network Energy Decarbonization

Hani Mahmassani1, Pablo Durango-Cohen1, Adrian Hernandez1,Craig Philip2, Hiba Baroud21Northwestern University; 2Vanderbilt University.

3. Intermodal routing on road and rail with comparisons of green-house gas emissionsMarc Meketon, Oliver Wyman
4. Energy and economic impacts of advanced freight transportation concepts,

Olcay Sahin, Argonne National Laboratory.