Crossroad traffic light time dynamic adjusting method based on big data

Abstract

The invention provides a crossroad traffic light time dynamic adjusting method based on big data. The crossroad traffic light time dynamic adjusting method comprises the following steps that 1, information such as traffic flow and queue-up quantity in two directions of all crossroads at different moments is obtained; 2, information such as the distances between the adjacent crossroads at the samemoment and traffic speed, traffic flow and queue-up quantity in the same direction is obtained; 3, information such as weather conditions of different crossroad positions is obtained; 4, all the information is uploaded to a cloud server; 5, a jamming state is predicted; 6, the cloud server simultaneously collects actual onsite jamming states in real time; 7, green-light passing and red-light waiting time in two directions of a crossroad is adjusted in time according to optimized adjusting results; and 8, all the information can be issued in real time through a network. By means of the crossroad traffic light time dynamic adjusting method based on big data, traffic light time can be dynamically adjusted, and traffic jamming is reduced.

Description

technical field [0001] The invention relates to the field of traffic technology, in particular to a method for dynamically adjusting the time of traffic lights at crossroads based on big data. Background technique [0002] In daily life, traffic jams are often encountered. The time of traffic lights at traffic intersections is fixed, and the situation of large traffic cannot be unblocked in time. The number of vehicles passing through within the effective time is limited, which brings inconvenience to people's travel. Contents of the invention [0003] Purpose of the invention: Aiming at the deficiencies in the above-mentioned prior art, the present invention provides a method for dynamically adjusting the time of traffic lights at intersections based on big data. [0004] Technical solutions: [0005] A method for dynamically adjusting the time of traffic lights at intersections based on big data, comprising the following steps: [0006] Step 1. Obtain information such ...

AI Technical Summary

Problems solved by technology

[0002] In daily life, traffic jams are often encountered. The time of traffic lights at traffic intersections is fixed, and the situation of large traffic cannot be unblocked in time. The number of vehicles passing through within the effective time is limited, which brings inconvenience to people's travel.