This paper considers the problem of scheduling autonomous vehicles at intersections. A new system is proposed which is more efficient and could replace the recently introduced Autonomous Intersection Management (AIM) model. The proposed system is based on the production line technique. The environment of the intersection, vehicles position, speeds, and turning are specified and determined in advance. The goal of the proposed system is to eliminate vehicle's collision and reduce the waiting time to cross the intersection. Three different patterns of traffic flow towards the intersection have been tested. The system requires less waiting time, compared to the other models, including the random case where the flow is unpredictable. The K-Nearest Neighbors (KNN) algorithm has been used to predict vehicles making a right turn at the intersection. The experimental results show there is no chance of collision inside the intersection using the proposed model; however, the system might require more space in the traffic lane for some specific traffic patterns.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Autonomous Vehicle Scheduling at Intersections Based on Production Line Technique


    Beteiligte:


    Erscheinungsdatum :

    2018-08-01


    Format / Umfang :

    394312 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Autonomous vehicle operation at blind intersections

    PROKHOROV DANIL V | Europäisches Patentamt | 2018

    Freier Zugriff

    AUTONOMOUS VEHICLE OPERATION AT MULTI-STOP INTERSECTIONS

    TOYODA HEISHIRO / DOMEYER JOSHUA | Europäisches Patentamt | 2017

    Freier Zugriff


    Autonomous vehicle operation at multi-stop intersections

    TOYODA HEISHIRO / DOMEYER JOSHUA | Europäisches Patentamt | 2018

    Freier Zugriff