Abstract Rail transit systems are frequently subject to short term disruptions which temporarily block traffic, leading to increased passenger waiting times and overcrowding of trains. This paper focuses on the development of a real-time decision support system for rail transit operations. We develop a deterministic model of a rail system, and mixed integer programming formulations for several holding and short-turning strategies. We apply the formulations to problem instances based on the MBTA Red Line and demonstrate that passenger waiting time can be significantly reduced (on the order of 15–50%) by applying the resulting controls. We show that the great majority of benefits can be realized by applying only limited control actions on a small set of trains. Our formulations determine optimal control strategies, typically in less than 30 seconds.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimal Real-Time Control Strategies for Rail Transit Operations During Disruptions


    Contributors:


    Publication date :

    1999-01-01


    Size :

    25 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Optimal control strategies for a rail transit line

    O'Dell, Susan W. (Susan Wynne) | DSpace@MIT | 1997

    Free access

    Guidance Information Release Strategy Under Disruptions in Urban Rail Transit

    Dai, Runjia / Liu, Jun / Xu, Xinyue | Springer Verlag | 2024


    Passenger Route and Departure Time Guidance Under Disruptions in Oversaturated Urban Rail Transit Networks

    Zhuo, Siyu / Zhu, Xiaoning / Shang, Pan et al. | Transportation Research Record | 2024