The invention relates to the technical field of Internet of Vehicles, in particular to a traffic jam prediction method, electronic equipment and a storage medium. The traffic jam prediction method comprises the following steps: receiving an accident occurrence place and corresponding accident occurrence time sent by a vehicle terminal; acquiring accident occurrence time and first monitoring information at an accident occurrence place; determining a corresponding traffic congestion level according to the first monitoring information; and sending the accident occurrence place and the traffic congestion level to a navigation system, so that the navigation system generates reminding information corresponding to the congestion level when the first navigation route comprises the accident occurrence place. According to the invention, the user can plan the route in advance by using the reminding information, so that the user is prevented from being blocked on the road, the time of the user is saved, and the driving experience is improved.
本发明涉及车联网技术领域,特别涉及一种交通拥堵的预测方法、电子设备及存储介质。一种交通拥堵的预测方法包括:接收车辆终端发送的事故发生地点及对应的事故发生时间;获取事故发生时间,在事故发生地点的第一监控信息;根据第一监控信息确定对应的交通拥堵级别;将事故发生地点及交通拥堵级别发送至导航系统,以供导航系统在第一导航路线包括事故发生地点时,生成与拥堵级别对应的提醒信息。本发明中用户可以利用提醒信息提前对路线进行规划,避免堵在路上,节约了用户的时间,提高了行车体验。
Traffic jam prediction method, electronic equipment and storage medium
交通拥堵的预测方法、电子设备及存储介质
2023-08-01
Patent
Elektronische Ressource
Chinesisch
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