18 citations · 43 across the 22 of their papers we have counts for
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cs.RO2024
Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach
Mehran Berahman, Majid Rostami-Shahrbabaki, Klaus Bogenberger
Deep reinforcement learning has shown promise in various engineering applications, including vehicular traffic control. The non-stationary nature of traffic, especially in the lane…
cs.RO2023
Investigating Lane-Free Traffic with a Dynamic Driving Simulator
Maya Sekeran, Arslan Ali Syed, Johannes Lindner +2
Lane-free traffic (LFT) is a new traffic system that relies on connected and automated vehicles (CAV) to increase road capacity and utilization by removing traditional lane marking…