The invention discloses a static traffic bottleneck-oriented road driving risk identification method in an intelligent network connection environment. The method comprises the steps of 1, establishing a road plane rectangular coordinate system; 2, collecting related information of roads and vehicles; 3, determining a road environment field value of the target vehicle under the static traffic bottleneck; 4, determining a superposition risk field value of surrounding dangerous vehicles to the target vehicle; 5, determining a total risk field value of the target vehicle; and 6, judging the risk degree of the target vehicle and carrying out risk classification. According to the method, the related information of the road and the vehicle can be obtained in the intelligent network connection environment, the dynamic risk value of the target vehicle in the advancing process is calculated, and the risk degree of the target vehicle is judged, so that a theoretical basis is provided for subsequent risk early warning and traffic control.
本发明公开了一种智能网联环境下面向静态交通瓶颈的道路行车风险识别方法,其步骤包括:1、建立道路平面直角坐标系;2、采集道路及车辆相关信息;3、确定静态交通瓶颈下目标车辆的道路环境场值;4、确定周围危险车辆对目标车辆的叠加风险场值;5、确定目标车辆的总风险场值;6、判断目标车辆的风险程度并进行风险分类。本发明能通过在智能网联环境下获取道路及车辆的相关信息,计算目标车辆在行进过程中的动态风险值,判断出目标车辆的风险程度,从而为后续的风险预警及交通管控提供理论依据。
Road driving risk identification method for static traffic bottleneck in intelligent network connection environment
智能网联环境下面向静态交通瓶颈的道路行车风险识别方法
2024-02-06
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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