Transportation agencies have invested in extensive infrastructure for vehicle detection and speed estimation. It is of interest to measure vehicle accelerations at an intersection to evaluate the impact of traffic signal control on energy, emissions and safety. This paper explains how to use inductive loops and magnetometers in speed trap configurations to measure acceleration in addition to speed and develops an algorithm for doing so. The algorithm was tested using approximately 7,000 vehicles and a GPS probe vehicle was used to provide ground truth. It was found that the root mean squared error (RMSE) between GPS and algorithm estimates is approximately 0.04g.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Joint maximum-likelihood estimation of speed and acceleration from existing roadway vehicle detectors


    Beteiligte:
    Ernst, J. M. (Autor:in) / Krogmeier, J. V. (Autor:in) / Bullock, D. M. (Autor:in)


    Erscheinungsdatum :

    01.10.2011


    Format / Umfang :

    962303 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Maximum-Likelihood Acceleration Estimation From Existing Roadway Vehicle Detectors

    Ernst, Joseph M. / Krogmeier, James V. / Bullock, Darcy M. | IEEE | 2012


    Maximum-likelihood speed estimation using vehicle-induced magnetic signatures

    Ernst, Joseph M. / Ndoye, Mandoye / Krogmeier, James V. et al. | IEEE | 2009