Designing a Demand Sensitive Timetable for MRT Services

Mass rapid transit systems (MRT) have become the most important public transport mode in many major cities globally, given its advantages in larger capacity, faster velocity and higher reliability compared with other modes. Hence, various projects directed to improve service quality of MRT systems by optimizing operation strategies have been conducted worldwide. Among numerous methods to adjust operation parameters for MRT services, timetable optimization has emerged as the simplest and most effective cure. On one hand, a demand sensitive timetable has the potential to improve service quality by reducing both waiting time and crowdedness on trains. On the other hand, for transit operators, a demand sensitive timetable will improve operation stability and hence reliability. In this study, the authors propose an optimization model to solve timetable scheduling considering fine grained dynamic demand data. The objective is to minimize the total waiting time for all the passengers. Historical demand data extracted from smart card system is used as inputs. Then, a predefined demand sensitive timetable will be generated with the optimization model. Since operational constraints such as the number of available trains and minimal headway are considered as boundary conditions, the authors ensure that the proposed schedule actually has the potential to be implemented in actual operation. A case study on a representative MRT service is conducted and presented in this paper. In the absence of effective/operated timetable, simulations on the optimal timetable obtained from this proposed model and a typical peak-offpeak operational timetable extracted from Google Maps are performed based on initial demand extracted from smart card data, the result of which demonstrates the applicability of the proposed model in designing an operational timetable. It is also noticed from simulation comparison that the total waiting time could be reduced by applying the optimized schedule.

  • Availability:
  • Supplemental Notes:
    • Abstract used with permission of ITS Japan. Paper No. 4162.
  • Corporate Authors:

    ITS Japan

    Tokyo,   Japan 
  • Authors:
    • Sun, Lijun
    • Jin, Jian Gang
    • Lee, Der-Horng
    • Erath, Alex
  • Conference:
  • Publication Date: 2013


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p
  • Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01535480
  • Record Type: Publication
  • ISBN: 9784990493981
  • Files: TRIS
  • Created Date: Aug 26 2014 9:43AM