Control of connected and automated vehicles: State of the art and future challenges
| Autor: | Francesco Borrelli, Jacopo Guanetti, Yeojun Kim |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
0209 industrial biotechnology Focus (computing) Computer science 05 social sciences Control (management) Systems and Control (eess.SY) 02 engineering and technology 020901 industrial engineering & automation Risk analysis (engineering) Control and Systems Engineering On demand 0502 economics and business FOS: Electrical engineering electronic engineering information engineering Computer Science - Systems and Control State (computer science) Routing (electronic design automation) Architecture Software Efficient energy use Block (data storage) |
| Zdroj: | Annual Reviews in Control. 45:18-40 |
| ISSN: | 1367-5788 |
| DOI: | 10.1016/j.arcontrol.2018.04.011 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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