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In this chapter, a control algorithm for a vehicle platoon operating in a smart urban network is presented. Two main aspects are formally addressed: routing decisions and command inputs computations. In a nutshell, run-time routing decisions are obtained by using a reinforcement learning algorithm which exploits the available information provided by the vehicle sensor module, while a distributed model predictive control algorithm is built by resorting to a set-theoretic approach where most of the computations are offline performed.

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A Smart Multilayer Supervised Control Architecture for Safe Traveling in Urban Road Networks

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  • 发表日期：

    2026年

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  • Domenico Famularo,
  • Giancarlo Fortino,
  • Giuseppe Franzè

摘要

In this chapter, a control algorithm for a vehicle platoon operating in a smart urban network is presented. Two main aspects are formally addressed: routing decisions and command inputs computations. In a nutshell, run-time routing decisions are obtained by using a reinforcement learning algorithm which exploits the available information provided by the vehicle sensor module, while a distributed model predictive control algorithm is built by resorting to a set-theoretic approach where most of the computations are offline performed.