DocumentCode
3225139
Title
An Analysis on Road Network Capacity Reliability Based on OD Pair Travel Time Reliability
Author
Kuang, Aiwu ; Huang, Zhongxiang ; Chan, W. K Victor
Author_Institution
Sch. of Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha
Volume
2
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
333
Lastpage
337
Abstract
In this paper, a bi-level programming model based on OD pair travel time reliability is developed to study road network capacity reliability. A user equilibrium traffic assignment model is proposed with a lower problem describing travelers´ route choice behavior and an upper problem that maximizes the basic reference OD demand multiplier subject to the corresponding prescribed travel time threshold. An approximation algorithm is introduced to estimate the road network capacity reliability. The algorithm treats the capacity of each link as a discrete random variable and uses the road network most probable states generation method in conjunction with the sensitivity analysis technique to solve the bi-level programming model. Finally, a numerical example of a small road network is used to demonstrate the application of the proposed model and algorithm.
Keywords
reliability theory; roads; traffic; transportation; approximation algorithm; bilevel programming model; discrete random variable; origin-destination pair travel time reliability; road network capacity reliability; road network most probable states generation method; sensitivity analysis; travel time threshold; user equilibrium traffic assignment model; Automation; Capacity planning; Computer networks; Intelligent networks; Intelligent transportation systems; Random variables; Reliability engineering; Roads; Telecommunication traffic; Traffic control; OD pair travel time reliability; bi-level programming model; capacity reliability; most probable states; user equilibrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.440
Filename
4659778
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