This chapter introduces the application of artificial intelligence technology in transportation. We focus on the new applications in autonomous vehicles, ships, and drones. Some important machine learning techniques are introduced, including deep learning, swarm-based fuzzy controllers, wireless sensors, and actuator networks. This chapter also provides several case studies of applying AI in the transportation sector, including AI in Tesla electric cars, Uber’s AI Platform, and AI in WeRide.
Artificial Intelligence in Transportation
appl. Innovation & technol. manag.
20.07.2022
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
NetworksGenetic , Artificial IntelligenceTransportationAutonomous , NetworksSwarm-based , VehiclesSelf-driving CarsMachine , TrucksAutonomous , AlgorithmDeep LearningSimulationWireless , SensorActuator , Fuzzy ControllerSelf-driving , ShipOpenAIElectric VehicleHardwareAutonomy , AlgorithmsCode , FoundationsEvaluation Infrastructure , LearningNeural Industries , Artificial Intelligence , Business and Management , IT in Business , Business Strategy/Leadership
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