Paper Info
Title
A Multi-objective Stochastic Programming Approach for Expressway System Planning with Risk Management
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.
Year
DOI
Venue
2009
10.1109/ICNC.2009.94
International Conference on Natural Computation
Keywords
Field
DocType
travel time,future cost,expressway system planning,robust model,transportation,roads,total future cost risk,multiobjective stochastic programming model,current investment cost,expected total cost,expressway investment decision,risk management,expressway system,multi-objective stochastic programming approach,multi-objective stochastic programming,value-at-risk,multi-objective model,stochastic programming,programming,planning,investments,reactive power,value at risk,stochastic processes,minimization
Business system planning,Mathematical optimization,Computer science,Stochastic process,AC power,Minification,Risk management,Total cost,Stochastic programming,Value at risk
Conference
Volume
ISBN
Citations 
4
978-0-7695-3736-8
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Huapu Lu1347.46
Yu Xinxin200.34
Changzhi Bian301.01
Wang Haiwei400.34
Li Yue591.35