Optimisation of timetable-based, stochastic transit assignment models based on MSA

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Optimisation of timetable-based, stochastic transit assignment models based on MSA

Authors
Publisher
Springer New York LLC
Keywords
  • However
  • Public Transport Assignment Models Have Increased In Complexity In Order To Describe Passengers' Rou
  • Important Trends In The Development Are (1) Timetable-Based Assignment
  • (2) Inclusion Of Feeder Modes
  • (3) Use Of Stochastic Components To Describe Differences In Passengers' Preferences Within And Betwe
  • As Well As To Describe Non-Explained Variation Within A Utility Theory Framework
  • And (4) Consideration Of Capacity Problems At Coach Level
  • System Level And Terminal Level
  • In The Copenhagen-Ringsted Model (Crm)
  • Such A Large-Scale Transit Assignment Model Was Developed And Estimated
  • The Stochastic User Equilibrium Problem Was Solved By The Method Of Successive Averages (Msa)
  • The Model Suffered From Very Large Calculation Times
  • The Paper Focuses On How To Optimise Transit Assignment Models Based On Msa Combined With A Generali
  • Comparable Tests Are Carried Out On A Large-Scale Network
  • The Conclusion Is That There Is Potential Of Optimising Msa-Based Methods
  • Examples Of Different Approaches For This Is Presented
  • Tested And Discussed In The Paper

Abstract

Optimisation of timetable-based, stochastic transit assignment models based on MSA - DTU Orbit (18/04/14) Optimisation of timetable-based, stochastic transit assignment models based on MSA - DTU Orbit (18/04/14) Nielsen, Otto Anker and Rasmus Dyhr Frederiksen. "Optimisation of timetable-based, stochastic transit assignment models based on MSA". Annals of Operations Research. 2006, 144(1). 263-285. Available: 10.1007/s10479-006-0012-0

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