# Traffic Automation in Urban Road Networks Using Consensus-based Auction Algorithms For Road Intersections

## TL;DR

This paper presents a decentralized traffic control method using consensus-based auction algorithms and model predictive control to improve safety, efficiency, and throughput at urban road intersections.

## Contribution

It introduces a novel decentralized control strategy combining CBAA-M and model predictive control for intersection management in urban traffic networks.

## Key findings

- Decentralized approach outperforms traditional solutions in throughput.
- Ensures safety and collision avoidance.
- Achieves higher efficiency in traffic flow.

## Abstract

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.