DocumentCode :
2441646
Title :
Estimating the Highway Freight Origin-destination Matrix from Multi-source Data Based on Fuzzy Programming Theory
Author :
Jin Shan ; Xu-hong Li
Author_Institution :
Sch. of Transp., Southeast Univ., Nanjing
fYear :
2008
fDate :
27-28 Dec. 2008
Firstpage :
204
Lastpage :
209
Abstract :
A method, based on the fuzzy programming theory, was outlined to estimate the regional single-mode highway freight origin-destination matrix. Due to the problem nature, data from multi-source were used instead of a large-scale field OD survey. A bi-objective non-linear programming model was presented, taking account of the intermodal OD issue. Fuzzy mathematics was applied to solve the uncertainty problem both in objective functions and constraint conditions. A case study was completed to prove that the multi-data estimation method is more precise than the conventional method only based on link volumes. Besides, the calculation methods for the prior OD table and the highway-railway intermodal OD values were also discussed in the case study.
Keywords :
estimation theory; fuzzy set theory; matrix algebra; nonlinear programming; railways; road traffic; transportation; biobjective nonlinear programming model; constraint condition; fuzzy mathematics; fuzzy programming theory; highway freight origin-destination matrix estimation; highway-railway intermodal origin-destination; multisource data estimation method; objective function; transportation problem; uncertainty problem; Cities and towns; Equations; Large-scale systems; Mathematics; Optimization methods; Process planning; Production; Rail transportation; Road transportation; Uncertainty; Estimating; Fuzzy Programming; Highway; Origin-destination Matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Simulation and Optimization, 2008. WMSO '08. International Workshop on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3484-8
Type :
conf
DOI :
10.1109/WMSO.2008.111
Filename :
4756990
Link To Document :
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