The major objective of this project is to obtain traffic information accurately from existing wireless infrastructure. In this project freeway traffic will be identified and modeled using data obtained from existing wireless cellular networks. Most of the previous research on freeway traffic control assumes the availability of traffic parameters like vehicle velocity and density. Such data is available only at a few locations on major highways where sensor nodes have been pre-deployed. In practical terms, to build a comprehensive network of sensors for this purpose is prohibitive in terms of the cost involved. However, an existing cellular network of a large wireless provider can be used for collecting traffic parameter information. As mobile devices have become very common, these devices can not only provide traffic parameter data but can also be used to receive real time traffic information using mobile applications.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Traffic Prediction using Wireless Cellular Networks


    Beteiligte:
    S. Wadoo (Autor:in)

    Erscheinungsdatum :

    2016


    Format / Umfang :

    30 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Prediction of traffic density from wireless cellular data

    Wadoo, Sabiha A. / Syed, Arsal Huda / Sood, Vikrant et al. | IEEE | 2016



    Analysis of Cellular Wireless Networks with Non-Classical Traffic and Channel Reservation

    Samanta, R.K. / Bhattacharjee, P. / Sanyal, G. | British Library Online Contents | 2012


    Analysis of Cellular Wireless Networks with Non-Classical Traffic and Channel Reservation

    Samanta, Raj K. / Bhattacharjee, Partha / Sanyal, Goutam | British Library Online Contents | 2012


    Freeway Traffic Prediction Using Neural Networks

    Cheu, R.-L. / American Society of Civil Engineers | British Library Conference Proceedings | 1998