From the 1 of 8 linked papers with an AI index.
8 papers
Competitive mediator games and urban CAV routing markets
Grzegorz Jamróz
Inspired by possible future markets of autonomous routing and driving (ARAD), we introduce competitive mediator games and their equilibria which generalize the (coarse) correlated…
Randomized routing strategies of fleets of CAVs may prove market efficient
Grzegorz Jamróz, Åukasz Gorczyca, RafaÅ Kucharski
The paper studies how randomized routing strategies for fleets of connected autonomous vehicles can improve market efficiency, especially when human driver attitudes vary, and prop…
Market share maximizing strategies of CAV fleet operators may cause chaos in our cities
Grzegorz Jamróz, RafaŠKucharski, David Watling
We study the dynamics and equilibria of a new kind of routing games, where players - drivers of future autonomous vehicles - may switch between individual (HDV) and collective (CAV…
URB -- Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
Ahmet Onur Akman, Anastasia Psarou, MichaÅ Hoffmann +5
Connected Autonomous Vehicles (CAVs) promise to reduce congestion in future urban networks, potentially by optimizing their routing decisions. Unlike for human drivers, these decis…
Impact of Collective Behaviors of Autonomous Vehicles on Urban Traffic Dynamics: A Multi-Agent Reinforcement Learning Approach
Ahmet Onur Akman, Anastasia Psarou, Zoltán György Varga +2
This study examines the potential impact of reinforcement learning (RL)-enabled autonomous vehicles (AV) on urban traffic flow in a mixed traffic environment. We focus on a simplif…
Wardropian Cycles make traffic assignment both optimal and fair by eliminating price-of-anarchy with Cyclical User Equilibrium for compliant connected autonomous vehicles
MichaŠHoffmann, MichaŠBujak, Grzegorz Jamróz +1
Connected and Autonomous Vehicles (CAVs) open the possibility for centralised routing with full compliance, making System Optimal traffic assignment attainable. However, as System…