Distributed Cooperative Driving in Multi-Intersection Road Networks
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Abstract (arXiv)
Cooperative driving at isolated intersections attracted great interest and had been well discussed in recent years. However, cooperative driving in multi-intersection road networks remains to be further investigated, because many algorithms for isolated intersection cannot be directly adopted for road networks. In this paper, we propose a distributed strategy to appropriately decompose the problem into small-scale sub-problems that address vehicle cooperation within limited temporal-spatial areas and meanwhile assure appropriate coordination between adjacent areas by specially designed information exchange. Simulation results demonstrate the efficiency-complexity balanced advantage of the proposed strategy under various traffic demand settings.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Apr 2021.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 1.
4 papers.
- 2021Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlookscited by 15
- 2024Roadside Units Assisted Localized Automated Vehicle Maneuvering: An Offline Reinforcement Learning Approachcited by 2
- 2022Coordinating CAV Swarms at Intersections with a Deep Learning Modelcited by 1
- 2025Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Mergingcited by 0
- 2025Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging28 Nov 2025
- 2024Roadside Units Assisted Localized Automated Vehicle Maneuvering: An Offline Reinforcement Learning Approach7 May 2024
- 2022Coordinating CAV Swarms at Intersections with a Deep Learning Model10 Nov 2022
- 2021Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks24 Jun 2021