Analysis of Overall Benefit of Integrated Transportation Base on Bi-Level Programming Model

It is very important to balance different modes of transportation. This paper analyzes the maximization of general benefit of transportation which is based on bi-level programming model, when there are many different modes to be chosen by passengers. This model may avoid wasting transport resources while there is fierce competence between different modes of transportation. The bi-level programming model of traffic equilibrium network flow between cities may be solved by the algorithm of simulated annealing. There are several characteristics of China passenger transportation such as long distance, huge traffic flow, strong temporal and regional, because of the feature of geographical conditions and the economics of China. Recently, central government and local government tried their best to develop the different types of transportation. But there are still many problems which are results of the uncoordinated situation between different departments of government. This paper aims to coordinate different resources and rationalizes Chinese transportation. Si Bingfeng and etc. (2004) construct model of transportation separation modes with the integrated transportation and analyses the behavior of transportation selection with several modes of transportation. Tian xiaoyan (2006) analyses the diversification of traffic flow with different modes of transportation, when some conditions of transportation change. Chen huajian, Wei bangcheng and etc. (2003, 2008) study the optimization tickets price of railway, the traffic flow of integrated transportation network and optimization railway market by bi-level programming model.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 3817-3822
  • Monograph Title: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration

Subject/Index Terms

Filing Info

  • Accession Number: 01525615
  • Record Type: Publication
  • ISBN: 9780784411391
  • Files: TRIS, ASCE
  • Created Date: Nov 12 2013 1:54PM