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Data-Driven Based Cruise Control of Connected and Automated Vehicles Under Cyber-Physical System Framework

Published: 01 October 2021 Publication History

Abstract

Cyber-physical systems (CPS) have become the cutting-edge technology for the next generation of industrial applications, and are rapidly developing and inspiring numerous application areas. This article presents an optimal forward-looking distributed CPS application for the safety-following driving control of connected and automated vehicles (CAV) in the intelligent transportation. The relevant components and required technologies of the CPS concept in intelligent transportation systems are introduced firstly. Under this framework, each CAV is considered as an independent CPS. In the safe driving of vehicles, historical data is used to build vehicle behavior prediction models and dynamic driving system models. At the same time, a new range strategy considering the probability of merging behavior is proposed and applied to the CAV’s safe cruise control. The results show that through the application framework of CPS, the proposed range strategy can improve the following safety of the vehicle.

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            cover image IEEE Transactions on Intelligent Transportation Systems
            IEEE Transactions on Intelligent Transportation Systems  Volume 22, Issue 10
            Oct. 2021
            571 pages

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            IEEE Press

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            Published: 01 October 2021

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            • (2024)Secure and Efficient User-Centric V2C Communication for Intelligent Cyber-Physical Transportation SystemIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.344260919(7674-7689)Online publication date: 1-Jan-2024
            • (2023)Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning ApproachIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.334033425:6(4876-4891)Online publication date: 20-Dec-2023
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