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What is Lane-Free Vehicle Driving Strategies about?

This paper proposes a novel driving strategy for Connected and Automated Vehicles (CAVs) in a lane-free traffic environment. The approach combines artificial forces and a reinforcement learning method using a Deep Deterministic Policy Gradient (DDPG) network to ensure safe vehicle behavior and improve traffic throughput. The methodology is implemented in the SUMO simulator to demonstrate its effectiveness in various scenarios.

Author

Kragon Lord

Language

EN