The present disclosure extends to methods, systems, and computer program products for handling rider service at autonomous vehicles. Aspects of the disclosure use a task planning artificial intelligence (AI) framework to improve rider services provided at autonomous vehicles (AV). The AI framework uses tasking priorities and historical data-based machine learning to provide improved services, such as, passenger pickup, passenger drop off, etc. at an autonomous vehicle. A vehicle service is modeled as a Virtual Chauffer Agent (VCA) that acts independently and reacts in an environment to pursue delegated goals. The VCA can interoperate with a Virtual Driving System (VDS) to control an autonomous vehicle and transport a rider between locations. The VCA can interact with other agents (e.g., weather, traffic, map, etc.) to address rider service issues.


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    Title :

    Handling rider service at autonomous vehicles


    Contributors:

    Publication date :

    2020-11-03


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / 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



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