A method, apparatus, and computer program product for assessing one or more features of drivers within a threshold distance of a self-driving vehicle which has sensors to monitor driving conditions on a travel route within the threshold distance, predicting the behavior of one or more vehicles within the threshold distance based on the assessment of those features, and utilizing the predicted behavior for the self-driving vehicle to drive on the travel route. Changes in the condition or usage of the travel route, the surroundings, and pedestrians and other types of vehicles in the vicinity of the travel route can go into the assessment. Changes in the assessment can alert the self-driving vehicle to change course and the way it monitors data. Information regarding other drivers can be privatized and utilized using a blockchain system.


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    Title :

    Modifying behavior of autonomous vehicle based on advanced predicted behavior analysis of nearby drivers


    Contributors:

    Publication date :

    2019-04-02


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / A61B DIAGNOSIS , Diagnostik / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / B62D MOTOR VEHICLES , Motorfahrzeuge / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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