The invention relates to the technical field of parallel driving, in particular to an ACP theory-based intelligent networked vehicle parallel driving control method, which comprises the steps of S10,establishing a parallel system based on an ACP theory, collecting intelligent traffic information in an actual space, and uploading the intelligent traffic information to the parallel system; S20, enabling the parallel system to use the intelligent traffic information to optimize and calculate the traffic flow and establish a virtual space tending to be equivalent to the actual space; s30, performing optimization analysis on the intelligent traffic information in the virtual space, and optimizing the traffic flow and the driving vehicles: if a better result passes verification, going to the step S40; if no better result exists, keeping the current traffic flow vehicle driving instruction unchanged; and S40, controlling each vehicle in the actual space to execute the control command according to the newly verified virtual vehicle information. According to the invention, virtual traffic control and real vehicle driving control are combined and virtuality and reality are combined to realize intelligent and networked control and autonomous driving of vehicles, traffic flow is optimized and traffic accident risks are reduced.
本发明涉及平行驾驶的技术领域,更具体地,涉及一种基于ACP理论的智能网联车平行驾驶控制方法,包括:S10.基于ACP理论建立平行系统,采集实际空间中智能交通信息,并上传至平行系统;S20.平行系统利用智能交通信息优化计算交通流并建立趋于等价实际空间的虚拟空间;S30.在虚拟空间中对智能交通信息进行优化分析,并对交通流及行驶车辆进行优化:若有更优结果验证通过,则转步骤S40;若没有更优结果,则保持目前交通流车辆驾驶指令不变;S40.按照新验证通过的虚拟车辆信息控制实际空间内各车辆执行控制命令。本发明采用虚拟交通控制和实车驾驶控制结合,虚实结合实现车辆的智能化和网联化控制及其自主驾驶,优化交通流和降低交通事故风险。
ACP theory-based intelligent networked vehicle parallel driving control method
一种基于ACP理论的智能网联车平行驾驶控制方法
26.03.2021
Patent
Elektronische Ressource
Chinesisch
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