Chapter
Jun 29, 2016
A Nonlinear Mixed Integer Programming Method to Find the Reliable Shortest Path in a Stochastic Network
Publication: CICTP 2016
Abstract
A reliable shortest path problem is focused on finding a reliable a priori shortest path to maximize the probability of travelers arriving at their destination within a given travel time budget in a stochastic network. The mathematical model based on nonlinear mixed integer programming is established to analyze the problem of finding the reliable shortest path in a stochastic traffic network. A penalty method is developed to solve the nonlinear mixed integer programming problem by transforming the proposed problem to an unconstrained nonlinear programming problem through penalty function. Numerical results are provided using a small network and show the validity and feasibility of the proposed method.
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Published In
CICTP 2016
Pages: 71 - 77
Copyright
© 2016 American Society of Civil Engineers.
History
Published online: Jun 29, 2016
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College of Automobile and Traffic Engineering, Nanjing Forestry Univ., Nanjing 210037, China. E-mail: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.