Polling-systems-based Autonomous Vehicle Coordination in Traffic Intersections with No Traffic Signals
Not on the map. Why?
Abstract (arXiv)
The rapid development of autonomous vehicles spurred a careful investigation of the potential benefits of all-autonomous transportation networks. Most studies conclude that autonomous systems can enable drastic improvements in performance. A widely studied concept is all-autonomous, collision-free intersections, where vehicles arriving in a traffic intersection with no traffic light adjust their speeds to cross safely through the intersection as quickly as possible. In this paper, we propose a coordination control algorithm for this problem, assuming stochastic models for the arrival times of the vehicles. The proposed algorithm provides provable guarantees on safety and performance. More precisely, it is shown that no collisions occur surely, and moreover a rigorous upper bound is provided for the expected wait time. The algorithm is also demonstrated in simulations. The proposed algorithms are inspired by polling systems. In fact, the problem studied in this paper leads to a new polling system where customers are subject to differential constraints, which may be interesting in its own right.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jul 2016.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 2; 2023: 1.
4 papers.
- 2021Reinforcement Learning for Mixed Autonomy Intersectionscited by 14
- 2022Unified Automatic Control of Vehicular Systems with Reinforcement Learningcited by 13
- 2023Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersectionscited by 9
- 2022Intelligent Autonomous Intersection Managementcited by 1
- 2023Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections12 Jan 2023
- 2022Unified Automatic Control of Vehicular Systems with Reinforcement Learning30 Jul 2022
- 2022Intelligent Autonomous Intersection Management9 Feb 2022
- 2021Reinforcement Learning for Mixed Autonomy Intersections8 Nov 2021