The invention relates to the technical field of vehicle driving road condition recognition, and discloses a method and system for recognizing a vehicle driving road condition, and the method comprises a process of pre-building a learning model and a process of vehicle driving road condition. Vehicle driving data are periodically collected through a vehicle-mounted terminal device, and the collected data result is fed back to a cloud server; the cloud server calls the machine learning model to calculate and classify corresponding road condition information, and the cost is relatively low; due to the fact that the Internet of Vehicles industry in China is in the starting stage, technological innovation is more active, novel application is flourishing, the industrial scale is continuously expanded, and the Internet of Vehicles serves as a hub for connecting an intranet and an extranet, comprehensive connection of an automobile navigation system, intelligent terminal equipment and an information network platform is achieved. Therefore, the related data of the Internet of Vehicles can be easily uploaded to the cloud, and the prior condition of a machine learning model is met; the scheme is simple and effective, and can be easily realized.
本发明涉及车辆行驶路况识别技术领域,且公开了一种识别车辆行驶路况的方法及系统,包括预构建学习模型流程和车辆行驶路况流程,本发明通过车载终端设备周期性采集车辆行驶数据,并将采集得到的数据结果反馈给云端服务器,云端服务器调用机器学习模型即可计算分类出相应路况信息,相比之下成本较低;由于我国车联网产业正处于起步阶段,技术创新愈加活跃,新型应用蓬勃发展,产业规模不断扩大,并且车联网它作为连接车内网与车外网的枢纽,已实现汽车导航系统、智能终端设备与信息网络平台全面连接,因此将车联网相关数据进行上传至云端也轻而易举,符合机器学习模型的先验条件;本发明方案简洁有效,能够非常容易实现。
Method and system for identifying vehicle driving road condition
一种识别车辆行驶路况的方法及系统
2024-01-30
Patent
Electronic Resource
Chinese
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