Adaptive and Distributed Speed Limitation in a Simulation of the Swiss Highway Network

The present work is aimed at finding a decentralized, adaptive solution for intelligent speed limitation that increases highway efficiency. Each segment of the highway is associated with an intelligent agent which can monitor traffic conditions and impose speed limits. Agents communicate with neighbouring agents to exchange information and effectively coordinate their speed limitations they impose. We propose to use the Distributed Constraint Optimisation framework to model the coordination problem, and the DPOP algorithm for solving it.