Optimizing Rail Transit Alignments Connecting Several Major Stations

Throughout the world urban rail transit systems are being extended due to their large capacity, avoidance of traffic congestion, environmental advantages and favorable effects on urban development. Various studies have been conducted to help locate transit stations or design track alignment, but most of them did not account for the interactions between station locations and track alignment. This paper presents a practical rail transit alignment optimization methodology, which can design track alignment connecting several major stations. The method can generate alignments that pass through preset station locations while meeting the special geometry constraints at these stations. The paper also proposes a heuristic based on a Genetic Algorithm to efficiently search for solutions while interacting with the supporting geographic information systems (GIS) system. Its current objective function is construction cost minimization but the search algorithm is designed to optimize any function that can be evaluated with available geographic GIS data. The Baltimore Red Line is used as a case study. Numerical results demonstrate that the model can find very good solutions in regions with complex topographical features.


  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Maps; Photos; References; Tables;
  • Pagination: 23p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01157033
  • Record Type: Publication
  • Report/Paper Numbers: 10-2837
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:23AM