Railroads use wayside inspection technologies to monitor the health of passing railcars. Because of resource constraints, an efficient and feasible installation plan should be integrated into a multiperiod decision–support framework to derive the maximum benefit over a long planning horizon. A large-scale network optimization framework was proposed to solve this problem. The problem was formulated into two equivalent mathematical models: a maximum coverage model and a K-median model. A set of solution algorithms including a greedy heuristic, a 1-interchange heuristic, and a Lagrangian relaxation method were developed for these models, and their computational performances were investigated. A numerical case study was developed to illustrate the use of these models in real-world settings, and insights into empirical applications of these models were drawn.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Installation of Railroad Wayside Defect Detectors


    Subtitle :

    Multiperiod Design


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Peng, Fan (author) / Li, Xiaopeng (author) / Ouyang, Yanfeng (author)


    Publication date :

    2011-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    RAILROAD WAYSIDE MONITORING DEVICE AND RAILROAD WAYSIDE MONITORING SYSTEM

    AKIYAMA YASUYUKI / KAMIYA HIROSHI / TAKIZAWA AKIHIRO et al. | European Patent Office | 2022

    Free access

    RAILROAD WAYSIDE MONITORING SYSTEM, MONITORING DEVICE, AND RAILROAD WAYSIDE MONITORING METHOD

    TSUJI KAZUYOSHI / AOYAMA TETSUYA / KINOSHITA YUSUKE et al. | European Patent Office | 2016

    Free access


    Railroad Crossing Wayside Horn Evaluation

    J. E. Hummer / M. R. Jafari | NTIS | 2007