Highlights Decomposed delay along a passenger trajectory into corresponding network components. Constructed 3D delay networks from trajectories to represent transit delay dynamics. Demonstrated the method on one-year smart card data from Washington DC metro network. Achieved a dimensionality reduction of 94%. Computed almost 90% of the passenger’s delay with a mean error of 5 s per passenger.

    Abstract Smart card data enables the estimation of passenger delays throughout the public transit network. However, this delay is measured per passenger trajectory and not per network component. The implication is that it is currently not possible to identify the contribution of individual system components – stations and track segments – to overall passenger delay and thus prioritize investments and disruption management measures accordingly. To this end, we propose a novel method for attributing passenger delays to individual transit network elements from individual passenger trajectories. We decompose the delay along a passenger trajectory into its corresponding track segment delay, initial waiting time and transfer delay. Using these delay components, we construct a solvable system of equations, using which the delays on each network component can be computed. The estimation method is demonstrated on one year of data from the Washington DC metro network. Our approach produces promising results by compressing millions of individual trajectories into 3D networks, leading to a dimensionality reduction of 94%. Moreover, the mean slack variable value (that can be interpreted as proxies for estimation errors) is smaller than five seconds per passenger, and has the desired positive sign for almost 90% of all travelers. Applications using the estimation results include revealing network-wide recurrent delay patterns, modeling delay propagation and detecting disruptions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Estimation of metro network passenger delay from individual trajectories


    Contributors:


    Publication date :

    2020-06-10




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Research on Passenger Distribution of Metro Network

    Li, Xin / Xu, Jie / Song, Zhenyang et al. | Springer Verlag | 2022


    Research on Passenger Distribution of Metro Network

    Li, Xin / Xu, Jie / Song, Zhenyang et al. | British Library Conference Proceedings | 2022


    Metro traffic regulation from the passenger perspective

    Goodman, C. J. / Murata, S | SAGE Publications | 2001


    Metro traffic regulation from the passenger perspective

    Goodman, C.J. | Online Contents | 2001