Traffic condition reliability is very important for developing a robust transportation management and control system and travel time variability. It has been investigated extensively over the past several years. In this paper - targeting providing more insight into traffic variability - traffic speed variability is investigated and modeled. In this paper, using traffic speed variability has been computed as the variance of vehicle speeds at a fixed time interval. Then, the traffic speed variance series is modeled using the classical time series models. Real time traffic data that was collected from loop detectors installed on the roadway systems in the United Kingdom has been used for this purpose. Finally, traffic speed variances are predicted in a real-time fashion using the Kalman filter approach constructed from the time series model. Empirical results showed that traffic speed variability can be modeled and predicted reliably.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-Time Traffic Speed Variability Modeling and Prediction


    Contributors:
    Shi, Guogang (author) / Guo, Jianhua (author)

    Conference:

    14th COTA International Conference of Transportation Professionals ; 2014 ; Changsha, China


    Published in:

    CICTP 2014 ; 528-534


    Publication date :

    2014-06-24




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    High-Speed Prediction of Air Traffic for Real-Time Decision Support

    Tandale, M. / Wiraatmadja, S. / Menon, P. et al. | British Library Conference Proceedings | 2011


    Traffic Prediction for Real Time Traffic Management

    Olsson, K. | British Library Conference Proceedings | 1995


    High-Speed Prediction of Air Traffic for Real-Time Decision Support

    Tandale, Monish / Wiraatmadja, Sandy / Menon, Padmanabhan et al. | AIAA | 2011


    Real-time dynamic traffic speed control

    MITTAL ARCHAK / CHEN YIFAN / WINGFIELD ERIC H | European Patent Office | 2023

    Free access