The invention relates to a traffic condition prediction method based on a road social circle. The method comprises the following steps: sending a social request to an Internet of Vehicles platform; the Internet of Vehicles platform acquiring driving information of the request vehicle, wherein the driving information comprises a vehicle position, a driving direction and a driving speed; taking thevehicle position of the request vehicle as a center, taking a first preset value as a radius to establish a social circle, and regarding each vehicle in the coverage range of the social circle as a clustering vehicle; acquiring driving information of each clustering vehicle, and mapping each clustering vehicle to a corresponding position of the map; according to the driving information of each clustering vehicle, obtaining the vehicle density and the average driving speed of each road around the request vehicle; when the vehicle density is greater than a first threshold value and the average driving speed is less than a second threshold value, considering that the road is a congestion area; and optimizing the driving path of the request vehicle. According to the prediction method, the congestion area and the driving risk can be analyzed, reference opinions are provided for drivers, the traffic efficiency is improved, and the accident occurrence probability is reduced.
本发明涉及一种基于道路社交圈的交通状况预测方法,包括向车联网平台发送社交请求;车联网平台获取请求车辆的行驶信息,行驶信息包括车辆位置、行驶方向及行驶速度;以请求车辆的车辆位置为中心,以第一预设值为半径建立社交圈,将社交圈覆盖范围内的各车辆视为聚类车辆;获取各聚类车辆的行驶信息,并将各聚类车辆映射至地图对应位置;根据各聚类车辆的行驶信息,获取请求车辆周围各道路的车辆密度以及平均行驶速度;当车辆密度大于第一阈值,平均行驶速度小于第二阈值,则认为该道路是拥堵区域;优化请求车辆的行驶路径。该预测方法能够分析出拥堵区域和驾驶危险性,为驾驶员提供了参考意见,利于改善交通效率,降低事故发生概率。
Traffic condition prediction method based on road social circle
一种基于道路社交圈的交通状况预测方法
2020-05-05
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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