Online Freight Network Assignment Model with Transportation Disruptions and Recourse

Published In

Transportation Research Record: Journal of the Transportation Research Board

Document Type

Article

Publication Date

1-2011

Subjects

Transportation planning, Adaptive routing, freight network assignment -- Mathematical models, Freight system performance

Abstract

Continuous real-time monitoring of shipment cost and delivery time is increasingly used by companies to reduce transportation costs while avoiding costly delays or disruptions. Recourse refers to the ability of the shipper to update a routing strategy on the basis of information obtained about the state of the network disruptions. An adaptive routing policy is proposed to help shippers and carriers save costs by reacting to information updates. Public transportation agencies can use the formulation to predict the behavior of shippers under disruptions in multimodal transportation networks. A mathematical model is formulated and analyzed; the model accounts for a new type of freight network assignment problem with recourse defined in a dynamic environment and in the presence of probable network disruptions or significant delays. The mathematical model is intended (a) to capture shipper behavior better in the presence of network disruptions and rerouting and (b) to include the heterogeneity in shipper routing behavior as a result of commodity or product, mode, and logistics system characteristics. Results indicate that models that do not account for the likelihood of disruption can severely misrepresent freight system performance and flows over the network, especially in situations in which freight is continuously monitored and disruptions are either significant or frequent.

Description

Copyright, National Academy of Sciences. Posted with permission of the Transportation Research Board. None of this material may be presented to imply endorsement by TRB of a product, method, practice, or policy.

DOI

10.3141/2224-03

Persistent Identifier

http://archives.pdx.edu/ds/psu/20821

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