原文传递
Stochastic Scenario-based Model and Algorithm for Transportation Network Flow Problem
| 题名： | Stochastic Scenario-based Model and Algorithm for Transportation Network Flow Problem |
| 正文语种： | 中文 |
| 作者： | WEN Juan WANG Li ZHANG Ji-sheng |
| 作者单位： | Research Institute of Highway,Ministry of Transport,Beijing 100088, hina School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044, hina |
| 关键词： | ITS optimization Lagrangian Relaxation approach genetic algorithm transportation network flow problem stochastic scenario |
| 摘要： | Following the background of transportation network, this paper considers a transportation network flow problem on the long term (strategic) planning level.Specifically, considering the uncertainties of capacities of links and nodes, we formulate an integer programming model based on the stochastic scenario-based capacity representation and unique solution constraints cross different scenarios.Lagrangian Relaxation solution approach and a genetic algorithm are designed in order to obtain an approximate optimal solution.Finally, the numerical experiments are implemented to demonstrate the efficiency and effectiveness of the proposed approaches. |
| 会议日期： | 20150427 |
| 会议举办地点： | 南京 |
| 会议名称： | 2015年南京第十四届亚太智能交通论坛 |
| 出版日期： | 2015-04-27 |
| 母体文献： | 2015年南京第十四届亚太智能交通论坛论文集 |
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