Mathematical modeling for optimizing skip-stop rail transit operation strategy using genetic algorithm.

Details

• Creators:
  Lee, Young-Jae
• Corporate Creators:
  Morgan State University. Dept. of Transportation and Urban Infrastructure Studies
• Corporate Contributors:
  National Center for Transportation Management, Research and Development (U.S.)
• Subject/TRT Terms:
  • Rail transit
  • Genetic algorithms
  • Mathematical models
  • Mathematical methods Skip-stop
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  National Center for Transportation Management, Research and Development (U.S.)
• Abstract:
  "With skip-stop rail transit operation, transit agencies can reduce their operating costs and fleet size, ; and passengers can experience reduced in-transit travel times without extra track and technological ; improvement. However, since skip-stop operation does not serve all the stations, passengers at ; exclusive stopping stations can possibly experience increased access time, waiting time, total travel ; time, and transfer. Only when the stopping stations are carefully coordinated can skip-stop services ; benefit passengers and transit agencies. ; This research developed an optimization model using a Genetic Algorithm that coordinated the ; stopping stations for skip-stop rail operation. Using the flexibility of the Genetic Algorithm, this ; model included many realistic conditions, such as different access modes, different stopping ; scenarios, different collision constraints, different objective functions, and etc. ; For this research, the Seoul Metro system’s line No. 4 was used as an example. With skip-stop ; operation, total travel time became about 17-20 percent shorter than with original all-stop operation, ; depending on the stopping constraints. In-vehicle travel time became about 20-26 percent shorter due ; to skipping stations, although waiting, transfer, and additional access times increased by 24-38 ; percent."
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23988/dot_23988_DS1.pdf
• File Type:
  [PDF - 987.36 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:dfcf654e6416ad3784b68cbc42b2809134f219de9d9506fd50d487461c8855054e824e1c08a69621c47a28a260dde4bfba5f2b5173eb846126648ead9949439a