Abstract Autonomous vehicles (AV) and connected vehicles (CV) are being designed with numerous sensors, including cameras, radar and Lidar, to enable features like adaptive cruise control, blind spot monitoring, collision avoidance and navigation. As AVs and CVs enter the vehicle fleet, practitioners are going to have the opportunity to monitor operations for freeways, intersections and urban environments to a degree that has not been possible or practical previously. But, the very availability of data will threaten practitioners with information overload. To properly use this newly abundant data, new algorithms and systems designs will be needed to automate data collection and processing into formats that practitioners can use.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Accessing and Integrating CV and AV Sensor Data into Traffic Engineering Practice


    Beteiligte:


    Erscheinungsdatum :

    2016-11-09


    Format / Umfang :

    2 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Integrating Intersection Traffic Signal Data into a Traffic Monitoring Program

    Guin, Angshuman / Hunter, Michael / Rodgers, Michael et al. | Transportation Research Record | 2016


    Traffic engineering practice

    Monash University, Department of Civil Engineering | TIBKAT | 1987


    Integrating Walkability into Planning Practice

    Weinberger, Rachel / Sweet, Matthias N. | Transportation Research Record | 2012


    Integrating Cycling with Mainstream Traffic Engineering

    Davies, D. / Emmerson, P. / Guthrie, N. | British Library Conference Proceedings | 1999


    Integrating Lasers into Clinical Practice

    Rounds, R. S. / Classe, J. G. / Prentice Society | British Library Conference Proceedings | 1995