Statistical Dwell Time Model for Metro Lines

This paper describes how traffic simulation models in metro lines are widely used in predictive control algorithms for traffic regulation and robustness analysis of timetables. The simulation results are highly dependent on the uncertainty modeling. The two main parameters in the simulation models are running times and dwell times. In lines operated with Automatic Train Operation (ATO) systems, running times are more deterministic than random (consequence of control actions), while dwell times show a higher stochastic behavior due to the influence of passengers and drivers. Typically, simulation models do not include a realistic modeling of dwell time uncertainty, and the confidence on results is affected. This paper focused on the stochastic component of dwell times in order to obtain a realistic model suitable for traffic simulation of metro lines. For this purpose, several statistical studies have been developed considering peak and off-peak hours, incidences, relations with other operation variables, etc. Models have been obtained and validated using data of different days and Metro de Madrid lines.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781845640873
• Corporate Authors:

  WIT Press

  Ashurst Lodge
  Ashurst, Southampton  United Kingdom  SO40 7AA
• Authors:
  • Martinez, I
  • Vitoriano, B
  • Fernandez, A
  • Cucala, A P
• Conference:
  • Urban Transport XIII. Urban Transport and the Environment in the 21st Century
  • Location: Coimbra , Portugal
  • Date: 2007-9-3 to 2007-9-5
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 223-232
• Monograph Title: Urban Transport XIII. Urban Transport and the Environment in the 21st Century

Subject/Index Terms

• TRT Terms: Automatic train operation; Dwell time; Stochastic processes; Timetables; Traffic data; Traffic simulation; Train operations
• Geographic Terms: Madrid (Spain)
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Public Transportation; Railroads;

Filing Info

• Accession Number: 01081381
• Record Type: Publication
• ISBN: 9781845640873
• Files: TRIS
• Created Date: Nov 28 2007 7:42AM