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A Solution Algorithm for Long Haul Freight Network Design Using Shipper-Carrier Freight Flow Prediction with Explicit Capacity Constraints

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  • Apivatanagul, Pruttipong “Palm”
  • Regan, A C

Abstract

Freight transportation has long been recognized as an important foundation of economic strength. Previous studies use traditional methods to examine a set of scenarios. However, due to the complexity of transportation projects which can have substitution effects in a network the number of resulting scenarios may be more than can be examined on a case by case basis. In this paper, a sequential shipper-carrier freight flow prediction model is examined. Additionally, an explicit capacity constraint is used to divert the traffic volume from congested links. A branch and bound method is applied to obtain a solution to our model. We discuss the benefits and limitations of our method, examine its computational efficiency and provide a numerical example. The results show that project selection by the traditional case by case analysis method cannot capture the complexity of freight transportation network improvements and yields the sub-optimal solution.

Suggested Citation

  • Apivatanagul, Pruttipong “Palm” & Regan, A C, 2008. "A Solution Algorithm for Long Haul Freight Network Design Using Shipper-Carrier Freight Flow Prediction with Explicit Capacity Constraints," University of California Transportation Center, Working Papers qt7v1185pz, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt7v1185pz
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    Social and Behavioral Sciences;

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