Paper Details

TRB 91st Annual Meeting (January 22-26, 2012)

Event Number:	474
Event Title:	Modeling Theories and Practices in Freight Planning and Logistics, Part 1 (Part 2, Session 518 )
Event Date:	Jan 24 2012 8:00AM- 9:45AM
Event Location:	Shoreham, Executive
Event Description:
Event Agenda:	The first of two sessions, this session follows the call for papers in modeling of freight planning and logistics. The call specially emphasizes new development in modeling theories and practices. The models cover freight planning and operations in both private and public sectors and various modes of transportation. They represent the current state of the art in freight planning and logistics operations.

Road Closures and Freight Diversion: Analysis with Empirical Data (12-1681)

The Federal Highway Administration (FHWA) sponsored Freight Performance Measures (FPM) program generates and monitors a series of performance measures related to the nation’s freight transportation system. The primary information analyzed by the FPM program is a dataset consisting of billions of truck global position system (GPS) data points. This data can be used to empirically demonstrate changes in truck travel patterns and freight performance that is independent of the availability of roadside sensing technology. A case study is presented of how FPM data can be used to analyze road closure diversion behavior, using the Arkansas Interstate 40 flooding closure in May 2011. This type of empirical analysis stands in contrast to the vast majority of current diversion analyses which heavily rely on modeling to generate results. Not only does FPM data provide a viable alternative to modeling for studying past events, it may provide valuable insight into the underlying assumptions of future models designed to predict the impacts of potential disaster scenarios. By better understanding how past events have unfolded, planners can better prepare for the next major disaster.

Authors
     Pierce, David , American Transportation Research Institute
     Short, Jeffrey Bradford, American Transportation Research Institute