2018 Phoenix

Monday, November 5
1. Rethinking Train Scheduling to Improve Network Capacity Management

Carl D. Van Dyke. TransNetOpt, West Windsor, NJ, USA

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2. Interaction Between Yard and Mainline Capacity in Railway Network Performance

Tyler Dick, PE. U of Illinois at Urbana-Champaign, Urbana, IL, USA

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3. Increasing Network Capacity through Use of Dynamic Car Scheduling

Clark Cheng, Edward Lin, Gunnar Feldmann. Norfolk Southern Corporation, Atlanta, GA, USA

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4. Impact of Improved Maintenance Programs on Railroad Capacity

David T. Hunt. Oliver Wyman, Princeton, NJ, USA

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5. The Digital Transformation of Rail Yard Planning and Operations

Jeremiah Dirnberger. GE Transportation, Jacksonville, FL, USA

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6. Improving the Flat Switching Process

Roger Baugher1, Daril Vilhena21TrAnalytics, Johns creek, GA, USA, 2Cedar AI, Johns Creek, GA, USA

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7. Traffic Complexity and the Performance of Railway Classification Yards

Tyler Dick, PE. U of Illinois at Urbana-Champaign, Urbana, IL, USA

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8. Car-Scheduling Based Hump Sequencing

Chip Kraft1, Roger Baugher21Transportation Economics & Management Systems Inc., 2TrAnalytics LLC, Johns Creek, GA, USA

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9. Simulating Railcar Transit under Different Operating Strategies

Tzu-Yu Chang, Darkhan Mussanov. University of Illinois at Urbana Champaign, Urbana, IL, USA

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10. An Integrated Train Service Plan Optimization Model with Variable Demand

Lingyun Meng1, Xuesong Zhou21Beijing Jiaotong University, Beijing, China, 2Arizona State University, Tempe, AZ, USA

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11. Optimization Models for Block Re-design Problem

Chinmoy Mohapatra1, Anantaram Balakrishnan21BNSF Railways, Arlington, TX, USA, 2University of Texas-Austin, Austin, TX, USA

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12. Trade-off Between Efficiency and Equity under Time Dependent Passenger Demand in Railway Timetabling

Dewei Li, Tianyu Zhang, Xinlei Dong. Beijing Jiaotong University, Beijing, China

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13. Visualizing the Effects of Maintenance on Train and Yard Performance

Trefor Williams1, John F. Betak21Rutgers University, Piscataway, NJ, USA, 2Collaborative Solutions, LLC, Albuquerque, NM, USA

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Tuesday, November 6
1. Train Rescheduling and Circulation Planning in Case of Complete Blockade for an Urban Rail Transit Line

Yihui Wang, Lingyun Meng, Tao Tang, Bin Ning. Beijing Jiaotong University, Beijing, China

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2. ***No Show***Modelling Resilience of Rail Transport Networks

Nikola Besinovic. Delft University of Technology, Delft, Netherlands

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3. Predicting Locomotive Failures: A Machine Learning Approach

Clark Cheng, Mabby Amouie, Ilya Lavrik. Norfolk Southern Corporation, Atlanta, GA, USA

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4. Modeling and Predicting Recurrent Rail Defects

Faeze Ghofrani, Qing He, PhD, Reza Mohammadi. University at Buffalo, SUNY, Buffalo, NY, USA

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5. Positioning and Coordination of Resources for Reliable Emergency Response to Railroad Incidents

Yanfeng Ouyang1, Siyang Xie21U of Illinois at Urbana-Champaign, Urbana, IL, USA, 2University of Illinois, Urbana, IL, USA

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6. Opportunities for Optimization and Automation in Intermodal Terminal Operations

Steven Jay Tyber. General Electric, Chicago, IL, USA

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7. The Role Of Partial Information And Commitment In Dynamic Transportation Procurement

Pol Boada-Collado, Karen Smilowitz, Sunil Chopra. Northwestern University, Evanston, IL, USA

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8. Investigating the Capacity of Different Intermodal Terminal Layouts with AnyLogic

Wesley Chen. University of Illinois Urbana-Champaign, Urbana, IL, USA

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9. Appointment Scheduling for Intermodal Dray Operations

Lisa Tang. Schneider, Green Bay, WI, USA

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10. Predictive Switch Health Using Switch Amperage

Casey Jen. CSX Corporation, Jacksonville, FL, USA

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11. Predicting Rail Defects with Massive Foot-by-foot Track Geometry Data

Reza Mohammadi, Faeze Ghofrani, Qing He. University at Buffalo, Amherst, NY, USA

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12. Using Predictive Analytics for Railway Track Maintenance Planning

Clark Cheng, Mabby Amouie, Gongli Duan. Norfolk Southern Corporation, Atlanta, GA, USA

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13. Integrated Optimization of Timetable and Rolling Stock Rescheduling Due to Temporary Maintenance Tasks

Jianrui Miao. Beijing Jiaotong University, Beijing, China

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