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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    Title :

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


    Contributors:
    Zhang, Tao (author) / Zou, Yuan (author) / Zhang, Xudong (author) / Guo, Ningyuan (author) / Wang, Wenwei (author)


    Publication date :

    2021-10-01


    Size :

    8245037 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English