SHORTEST-PATH ALGORITHEM BASED ROBUST OPTIMIZATION TO PUBLIC TRANSPORT HUB ALLOCATION PLANNING
This paper applies Robust Optimization method to optimize the public transport hub planning process. The Shortest-path Algorithm is firstly introduced to improve the initial solution and neighborhood structure.And the Robust Optimization method is applied to the problem of selecting the hub stations in the public transport network to help the decision making process.Furthermore, 8 hub stations are selected among 200 stations with the method application.The computation result shows its good usability in public transport planning.Consequently, the method can be used to instruct the public transport network in cities.
Shortest-path algorithm Robust optimization Hub allocation Public transport
ZHANG YAN WANG SHINING
China Academy of Transportation Science China Waterborne Transport Research Institute
国际会议
成都
英文
365-369
2011-11-25(万方平台首次上网日期,不代表论文的发表时间)