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Title: Solution Algorithm for Long-Haul Freight Network Design Using Shipper–Carrier Freight Flow Prediction with Explicit Capacity Constraints
Accession Number: 01095846
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Freight transportation has long been recognized as an important foundation of economic strength. Previous studies used traditional methods such as cost–benefit analysis to examine a set of scenarios. However, because of the complexity of transportation projects that can have substitution or complementary effects in a network, more scenarios may result than can be examined on a case-by-case basis. To realize optimal network design, a branch and bound method is applied to examine all possible scenarios. The work described in this paper focuses on developing public infrastructure investment decisions to improve freight movements. A freight flow prediction model that focuses on the relationship between shippers, who select types of services, and carriers, who decide how to route vehicles, is used to represent freight route choice behaviors. In addition, explicit capacity constraints are used to divert traffic volume from congested links. The benefits and limitations of the method are discussed, its computational efficiency is examined, and a numerical example is provided. The results indicate that project selection by the traditional case-by-case analysis cannot capture the complexity of freight transportation network improvements and yields a suboptimal solution.
Monograph Title: Monograph Accession #: 01121598
Language: English
Authors: Apivatanagul, PruttipongRegan, Amelia CPagination: pp 76-84
Publication Date: 2008
ISBN: 9780309126014
Media Type: Print
Features: Figures
(2)
; References
(30)
; Tables
(3)
TRT Terms: Uncontrolled Terms: Subject Areas: Freight Transportation; Highways; Planning and Forecasting; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Jan 29 2008 5:29PM
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