Safety, which is in danger by careless maneuvers, is the most significant aspect of driving due to the health of passengers. The lane-changing procedure (LCP) could result in an accident provided that the driver miscalculates other vehicle positions and velocities. Consequently, automation and vehicle-to-vehicle (V2V) communication, which is a way of exchanging information between cars, have become increasingly popular owing to improving safety. Besides, real-time implementation of a fast strategy dealing with such an amount of information seems to be essential in a high-speed maneuver. This article presents a novel approach to complete the process considering optimality and safety without a huge volume of computation. This means that a constrained-optimization problem (COP) is examined to find datasets and discover simpler correlations that are effortless to implement in the real world. Ultimately, the dataset is incorporated with a model predictive controller and the effectiveness of the strategy is validated in the Siemens PreScan® platform. Moreover, the results show that the presented method is effective for a simple, safe, comfortable, and efficient lane-changing maneuver.


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    Titel :

    A real-time optimal cooperative lane change strategy via V2V communication


    Beteiligte:


    Erscheinungsdatum :

    2023-11-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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