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Development of BPR Functions with Truck Traffic Impacts for Network Assignment  

Yun, Seong-Soon (Transportation Planner Gannett Fleming Int.)
Yun, Dae-Sic (Yeungnam University)
Publication Information
Journal of Korean Society of Transportation / v.22, no.4, 2004 , pp. 117-134 More about this Journal
Abstract
Truck traffic accounts for a substantial fraction of the traffic stream in many regions and is often the source of localized traffic congestion, potential parking and safety problems. Truck trips tend to be ignored or treated superficially in travel demand models. It reduces the effectiveness and accuracy of travel demand forecasting and may result in misguided transportation policy and project decisions. This paper presents the development of speed-flow relationships with truck impacts based on CORSIM simulation results in order to enhance travel demand model by incorporating truck trips. The traditional BPR(Bureau of Public Road) function representing the speed-flow relationships for roadway facilities is modified to specifically include the impacts of truck traffics. A number of new speed-flow functions have been developed based on CORSIM simulation results for freeways and urban arterials.
Keywords
Truck Traffic; Truck Trip Assignment; Transportation Planning Model; Travel Demand Forecast; Network Assignment; CORSIM Simulation; BPR (Bureau of Public Road) Function; Speed-Flow Relationship;
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  • Reference
1 National Research Council(1997), A Guidebook for Forecasting Freight Transportation Demand, National Cooperative Highway Research Project , Report 388, Washington D.C.
2 Guelat, J., M. Florian. and T. G. Crainic (1990), 'A Multimode Multiproduct Network Assignment Model for Strategic Planning of Freight Flows', Transportation Science, Vol 24, No.1, February, pp.25-39   DOI
3 Wilbur Smith Associates (1996). Multimodal Freight Forecasts for Wisconsin, Wisconsin Department of Transportation, July
4 Winston, C.(1983), 'The Demand for Freight Transportation: Models and Applications', Transportation Research. Part A, Vol. 17A, No. 6, pp.419-427
5 National Research Council(1983), Application of Statewide Freight Demand Forecasting Techniques, National Cooperative Highway Research Project, Report 260, Washington D.C.
6 Transportation Research Board(1977). Freight Data Requirements for Statewide Transportation Systems Planning, National Cooperative Highway Research Program Report 177, Washington D.C.
7 Smadi, A. and T. H. Maze(1996), 'Statewide Truck Transportation Planning: Methodology and Case Study, Transportation Research Record 1522, TRB, National Research Council, Washington D.C., pp.239-251
8 Casavant, K. L., W. R. Gillis, D. Blankenship, and C. Howard(1995), 'Survey Methodology for Collecting Freight Truck and Destination Data', Transportation Research. Record 1477, TRB, National Research Council, Washington D.C., pp.7-14
9 Friesz, T. L., R. L. Tobin, and P. T. Harker (1983), 'Predictive Interstate Freight Network Models: The State of the Art', Transportation Research-A, Vol. 17A, No.6, pp.409-417
10 Federal Highway Administration(1997), Model Validation and Reasonableness Checking Manual, Travel Model Improvement Program, February
11 U.S. Department of Transportation(1996), Quick Response Freight Manual, Report DOT-T-97-10, FHWA