Traffic Automation in Urban Road Networks Using Consensus-based Auction Algorithms For Road Intersections
For urban traffic management, this work offers a decentralized approach to intersection control that improves efficiency and safety.
This paper presents a decentralized control strategy for automating road intersections using a consensus-based auction algorithm, achieving higher throughput than traditional solutions in randomized simulations.
This paper describes a decentralized control strategy for the automation of road intersections and studies its impact on traffic in a realistic urban road network. The controller incorporates a consensus-based auction algorithm (CBAA-M), which allows vehicles to agree on a crossing order at each road intersection, and an on-board model predictive controller that avoids collisions with other traffic participants, while trying to satisfy performance metrics over time. Randomized simulations show that this decentralized control approach guarantees efficiency, safety, and a higher throughput than traditional solutions.