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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lu Huapu Yu Xinxin Bian Changzhi Wang Haiwei Li Yue |
| Copyright Year | 2009 |
| Abstract | This study deals with the problem of expressway system planning with risk management. A new multi-objective stochastic programming model is proposed. Transport demand, travel time and future cost are considered as uncertain parameters in expressway investment decision. To develop a robust model, an additional objective function is added into the traditional SO problem. This multi-objective model includes: (i) the minimization of the sum of current investment cost and the travel time of road users, which is defined as the expected total cost; (ii) the minimization of the VaR (Value-at-Risk) of the total future cost risk. Finally, a numerical example is given to illustrate the ability of the proposed model to expressway system planning. |
| Starting Page | 558 |
| Ending Page | 562 |
| File Size | 894202 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769537368 |
| DOI | 10.1109/ICNC.2009.94 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | risk management Military computing Stochastic processes Transportation Time measurement multi-objective stochastic programming Reactive power Stochastic systems Investments expressway system Cost function Robustness Risk management |
| Content Type | Text |
| Resource Type | Article |
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