Traffic safety early warning method and system based on mobile internet

Abstract

The invention discloses a traffic safety early warning method and system based on a mobile internet. The traffic safety early warning method comprises the steps that S1, user location information is collected; S2, a relative distance between users is calculated; S3, whether the relative distance is smaller than a safety distance or not is determined; S4, a safety early warning is issued to the user at the relative distance which is smaller than the safety distance; S5, whether the relative distance is smaller than a danger distance or not is determined; and S6, a danger early warning is issuedto the user at the relative distance which is smaller than the danger distance. The method and system reduce the collision between pedestrians and vehicles through the early warning to the pedestrians and the vehicles, and reduce the collision between the vehicles at the same time through the early warning to the vehicles; and the distance early warning between the pedestrians and the vehicles aswell as the distance early warning between the vehicles are performed by using the location information uploaded by the pedestrians and the vehicles, compared with a vehicle distance early warning based on a vehicle-borne radar, the cost is low, the update is fast, the release range is wide, the system is unified in operation and maintenance, and popularization and system maintenance are facilitated.

Description

technical field [0001] The invention relates to the field of road traffic, in particular to a mobile Internet-based traffic safety early warning method and system thereof. Background technique [0002] At present, the induction radar installed on the vehicle is mostly used to measure the distance between the vehicle and other vehicles. Induction radar is costly, slow to promote, and low in release efficiency, and it is difficult to integrate location information due to the inconsistency in the specifications of the collision avoidance systems of various automobile manufacturers. At present, traffic congestion and monitoring mostly rely on camera probes to collect vehicle information. This method requires a lot of manpower to judge congestion on the collected monitoring images, which is not conducive to solving the problem of urban congestion. [0003] Existing map navigation can navigate traffic routes, and can also display the positions of traffic lights on a map. Some ma...

AI Technical Summary

Problems solved by technology

[0004] However, there is currently no method and system for using map navigation or collecting location information uploaded by pedestrians and vehicles to prevent vehicle-to-pedestrian collisions, nor using map navigation or collecting vehicle and vehicle-uploaded location information to prevent vehicle-to-vehicle collisions method and system

There is no use of terminal equipment, such as mobile phone APP clients and vehicle computer APP clients, to collect the geographical location information of pedestrians and vehicles and upload them to the cloud, and to predict the congestion situation in advance through cloud computing, so as to plan the most convenient route for users.

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