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.
Handling rider service at autonomous vehicles
03.11.2020
Patent
Elektronische Ressource
Englisch
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 |