Learn to Bet: Using Reinforcement Learning to Improve Vehicle Bids in Auction-Based Smart Intersections

Learn to Bet: Using Reinforcement Learning to Improve Vehicle Bids in Auction-Based Smart Intersections

With the advent of IoT, cities will soon be populated by autonomous vehicles and managed by intelligent systems capable of actively interacting with city infrastructures and vehicles. In this work, we propose a model based on reinforcement learning that teaches to autonomous connected vehicles how t...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Giacomo Cabri, Matteo Lugli, Manuela Montangero, Filippo Muzzini
Format: Artykuł
Język:English
Wydane: MDPI AG 2024-02-01
Seria:Sensors
Hasła przedmiotowe:
deep reinforcement learning
smart city
intersection management
auctions
connected vehicles
autonomous vehicles
Dostęp online:https://www.mdpi.com/1424-8220/24/4/1288

Internet

https://www.mdpi.com/1424-8220/24/4/1288

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