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Joint Clusters :  Railroad Applications
 Transportation Science & Logistics

Session Information  : Sunday Oct 19, 10:00 - 11:30

Title:  Joint Session Railroad/ TSL: Freight Rail Applications
Chair: David Hunt,Senior Associate, Cambridge Systematics, P.O. Box 816, Pennington NJ 08534-0816, United States,

Abstract Details

Title: The Use of Dynamic Car Scheduling to Improve Freight Railroad Service Reliability
 Presenting Author: Bruce Patty,Exostrategy Partners, 200 Gate Five Road, Suite 200, Sausalito CA 94965, United States,
Abstract: An impediment to railroads garnering a larger share of the freight transportation market has been poor reliability. The inability to deliver a shipment on-time can be caused by events such as lack of adequate locomotive power, oversubscription of scheduled trains, weather, as well as by poor planning. We discuss the benefits of dynamic car scheduling as well as the necessary changes to business processes needed in order to take advantage of multiple routing options.
Title: Estimation of the Potential Demand for Rail Services Through Total Logistics Cost Modeling
 Presenting Author: Michael Gorman,Assistant Professor, University of Dayton, 300 College Park, Dayton OH 45469, United States,
Abstract: We evaluate the potential demand for Intermodal service in the Western U.S. from aggregate freight flow data. We base our analysis on the shipper's objective of minimizing total logistics (transportation and inventory) costs. We find that shippers often seem to choose freight transportation mode suboptimally. We hypothesize the reason for this apparent paradox and discuss its implications.
Title: Quantifying Public Benefits of Freight Rail Investments: Modeling Issues and Challenges
 Presenting Author: David Hunt,Senior Associate, Cambridge Systematics, P.O. Box 816, Pennington NJ 08534-0816, United States,
 Co-Author: Bengt Mutén,Executive Officer -- Products, Reebie Associates, 2777 Summer Street, Suite 401, Stamford CT 06905, United States,
Abstract: Freight volumes are projected to double by the year 2020 and policy makers are faced with a crucial decision. Can the investment of public funds in freight rail help mitigate roadway congestion and lower highway costs? To help make this decision, there is a need for improved methods to quantify the expected public benefits. This work describes existing tools and methods used to estimate benefits accruing from investments in rail, and then discusses outstanding issues and modeling challenges.