Control of Connected and Automated Vehicles: State of the Art and Future Challenges

By Jacopo Guanetti, Yeojun Kim, Francesco Borrelli. Annual Reviews in Control, 2018

593 citations recorded by the source corpus.

Abstract Autonomous driving technology pledges safety, convenience, and energy efficiency. Its challenges include the unknown intentions of other road users: communication between vehicles and with the road infrastructure is a possible approach to enhance awareness and enable cooperation. Connected and automated vehicles (CAVs) have the potential to disrupt mobility, extending what is possible with driving automation and connectivity alone. Applications include real-time control and planning with increased awareness, routing with micro-scale traffic information, coordinated platooning using traffic signals information, and eco-mobility on demand with guaranteed parking. This paper introduces a control and planning architecture for CAVs, and surveys the state of the art on each functional block therein; the main focus is on techniques to improve energy efficiency. We provide an overview of existing algorithms and their mutual interactions, we present promising optimization-based approaches to CAVs control and identify future challenges.

Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/16f1fc15794595e58631063ed63c78c8ca177be8

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In Automotive Engineering

  1. Chuanyang Sun
  2. Azim Eskandarian
  3. Chaoxian Wu

In Control and Systems Engineering

  1. Chuanyang Sun
  2. Azim Eskandarian
  3. Chaoxian Wu

In Electrical and Electronic Engineering

  1. Chuanyang Sun
  2. Azim Eskandarian
  3. Chaoxian Wu

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