The invention is suitable for the field of computers, and provides an unmanned driving early warning method based on a big data platform, and the method comprises the steps: collecting the conditions of a road surface through data collection devices on a plurality of unmanned vehicles, integrating the collected monitoring data into real-time road condition data, and uploading the data to a data sharing layer, continuously acquiring the integrated real-time road condition data from the data sharing layer by mobile clients on other driverless automobiles, and when many driverless automobiles run on a road in the future, enabling all the automobiles to upload the monitored data in real time, continuously updating the road condition information, and continuously acquiring the road condition information by all the automobiles, so that even if a traffic accident occurs in a blind area around the driverless automobile, the traffic accident can be known through data uploaded by other driverless cars, and early warning can be realized, so that countermeasures can be taken in time, serial automobile accidents are avoided, and automobile accidents in a larger range are prevented.
本发明适用于计算机领域,提供了一种基于大数据平台的无人驾驶预警方法,通过多个无人驾驶汽车上的数据采集设备对路面上的情况进行采集,采集后所得的监控数据整合到实时路况数据中,并上传至数据共享层,其他无人驾驶汽车上的移动客户端从数据共享层上不断获取整合后的实时路况数据,在未来当道路上的无人驾驶汽车较多时,所有汽车都会实时上传其监控到的数据,不断更新路况信息,又不断被所有汽车获取,即使在无人驾驶汽车周围盲区内发生交通事故,也能够通过其他无人驾驶汽车上传的数据得知,做到提前预警,以便于及时作出应对措施,避免发生连环车祸,防止更大范围的车祸发生。
Unmanned driving early warning method and device based on big data platform
一种基于大数据平台的无人驾驶预警方法及装置
10.12.2021
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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