Road traffic condition foreknowing system and method based on internet of things

Abstract

The invention discloses a road traffic condition foreknowing system and a road traffic condition foreknowing method based on internet of things. The foreknowing system mainly comprises a data service center server and vehicle-mounted terminal software, wherein the data service center server mainly comprises a user management module, a road traffic condition management module, a strategy publishing management module and a data service center database; the data service center database is respectively connected with the user management module, the road traffic condition management module and the strategy publishing management module; the vehicle-mounted terminal software comprises a global positioning system (GPS) module, a vehicle information management module, a road traffic condition acquisition module, a front road traffic condition displaying module and a vehicle-mounted terminal data memory; and the vehicle-mounted terminal data memory is respectively connected with the GPS module, the vehicle information management module, the road traffic condition acquisition module and the front road traffic condition displaying module. By adoption of the foreknowing system and foreknowing method, real-time traffic condition information acquired by vehicles running on the front road is directly used, and road traffic congestion status is not judged, so that a phenomenon that traveling people driving motor-driven vehicles are misled is avoided.

Description

technical field [0001] The invention relates to a system and method for predicting road traffic conditions based on the Internet of Things. Background technique [0002] There are more and more private cars, and many road sections in many large and medium-sized cities have different degrees of congestion. The current GPS navigation system cannot provide real-time traffic information well. If there is a navigation product, it can not only find out the route, Moreover, it can visually predict the real-time road traffic conditions on the road ahead, and can promptly remind the driver to change the driving route to avoid congested road sections, so that the traffic can be more effectively managed, the traffic jam time can be reduced, and the destination can be reached more quickly. [0003] For people traveling by motor vehicles, they not only hope to know whether the current road is congested, but also hope to be able to predict the real-time traffic conditions of the road ...

AI Technical Summary

Problems solved by technology

[0002] There are more and more private cars, and many road sections in many large and medium-sized cities have different degrees of congestion. The current GPS navigation system cannot provide real-time traffic information well. If there is a navigation product, it can not only find out the route, Moreover, it can visually predict the real-time road traffic conditions on the road ahead, and can promptly remind the driver to change the driving route to avoid congested road sections, so that the traffic can be more effectively managed, the traffic jam time can be reduced, and the destination can be reached more quickly.

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