Tunnel real-time monitoring management system and method based on traffic flow big data

Abstract

The invention discloses a tunnel real-time monitoring management system and method based on traffic flow big data, and belongs to the technical field of traffic monitoring. The system comprises a traffic flow monitoring module, a vehicle detection module, a factor analysis module, a time judgment module and a cloud communication module. The output end of the traffic flow monitoring module is connected with the input end of the vehicle detection module; the output end of the vehicle detection module is connected with the input end of the factor analysis module; the output end of the factor analysis module is connected with the input end of the time judgment module; and the output end of the time judgment module is connected with the input end of the cloud communication module. According to the system and the method, the dark adaptation time and the bright adaptation time when the driver enters or leaves the tunnel can be predicted, the probability of rear-end collision accidents when the driver enters or leaves the tunnel is reduced by comparing the dark adaptation time and the bright adaptation time with the safety time, and the life and property safety of the driver can be further guaranteed.

Description

technical field [0001] The invention relates to the technical field of traffic monitoring, in particular to a tunnel real-time monitoring and management system and method based on big data of traffic flow. Background technique [0002] Tunnel refers to an underground engineering building built in the ground. Generally, its section is large and belongs to underground engineering. It can effectively shorten driving mileage, improve traffic efficiency, save land resources, form a three-dimensional intersection, and solve intersection congestion. Blockage, at the same time in rivers, straits, and harbor areas, can not affect water transportation, improve protection ability, and not be affected by climate. [0003] It is precisely because of this that the interior of the tunnel is generally dark, and even if lighting fixtures are installed, its brightness is difficult to compare with the external light. In the human eye, there are pupils, rod-cone cells, and rhodopsin; based on t...

AI Technical Summary

Problems solved by technology

Under normal circumstances, the light adaptation time is shorter than the dark adaptation time, but whether it is light adaptation or dark adaptation, the driver will experience a temporary blurred vision state. If the driving distance cannot be controlled at this time, once the deceleration of the vehicle in front is greater than The deceleration rate of the car behind will cause a rear-end collision

At present, there is no related technology that can monitor and manage tunnels in real time based on light and dark adaptation.

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