Alexander Martin Dethof

Fabio Molinari, Alexander Martin Dethof, Joerg Raisch

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.

Alexander Martin Dethof, Fabio Molinari

This paper presents YatSim, an open-source program for simulating consensus-based control strategies in urban traffic networks. Urban traffic is a multi-agent system which requires agreement among the agents to guarantees performance, safety, and higher efficiency. YatSim is an user-friendly program that allows to create randomized urban traffic networks in which vehicles run. Vehicles agree on crossing priorities at the intersections by executing a Consensus-Based Auction Algorithm Modified. Ccollisions are avoided by employing an onboard Model Predictive Controller.