Big data-based traffic management system

Abstract

The invention relates to a big data-based traffic management system. The system comprises a regional entropy increase module, an image pick-up module, a working module, a processing module, a reflection module and a control module; the regional entropy increase module stores the change condition of an entropy in the peripheral region of a signal lamp during the change of the signal lamp; the imagepick-up module stores traffic flow change conditions and signal lamp durations in the regional entropy increase module, wherein the traffic flow change conditions and the signal lamp durations are obtained when the signal lamp is changed each time; the working module is used for converting road air and converting an entropy value and a signal value; the processing module judges a current air condition according to the signal value; the image pick-up module shoots the duration of a corresponding signal lamp mode after the current signal lamp is changed; the regional entropy increase module compares the change of the entropy in the surrounding area of the signal lamp during the change of the signal lamp in records according to the current air condition and obtains an optimal signal lamp duration; the reflection module reflects a road condition according to the optimal signal lamp duration; and the control module performs traffic signal lamp time domain conversion control according to the road condition.

Description

technical field [0001] The invention relates to the field of big data traffic management, in particular to a traffic management system based on big data. Background technique [0002] Since entering the 20th century, with the development of the automobile industry, automobiles have become an indispensable means of transportation in people's daily life. Although the automobile industry has brought convenience to people, it has also brought a series of confusing problems, such as environmental pollution, traffic congestion, and traffic accidents. Therefore, various countries have successively promulgated relevant road traffic management regulations to manage vehicles on the road. The experience of traffic management in various countries shows that one of the most effective methods of traffic management at road intersections is traffic signal control, so signal light control is the most common form of traffic management at road intersections. [0003] At present, most signal ...

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Problems solved by technology

[0005] Aiming at the intersections with unstable traffic flow on some roads, the control effect of the fixed timing system is not good, the waiting time of vehicles is too long, driving delays are increased, and the use efficiency of roads is reduced. The present invention provides a big data-based traffic management system

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