Data-Driven Based Cruise Control of Connected and Automated Vehicles Under Cyber-Physical System Framework
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...
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| Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2021-10, Vol.22 (10), p.6307-6319 |
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| creator | Zhang, Tao Zou, Yuan Zhang, Xudong Guo, Ningyuan Wang, Wenwei |
| description | 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. |
| doi_str_mv | 10.1109/TITS.2020.2991223 |
| format | Article |
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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. 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| ispartof | IEEE transactions on intelligent transportation systems, 2021-10, Vol.22 (10), p.6307-6319 |
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| subjects | Automation Cloud computing connected and automated vehicle Cruise control cyber-physical system Cyber-physical systems Data models Industrial applications Intelligent transportation systems merging behavior Prediction models Predictive models Safety Vehicle dynamics Vehicles |
| title | Data-Driven Based Cruise Control of Connected and Automated Vehicles Under Cyber-Physical System Framework |
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