Vehicle operation regulation and control method of urban road traffic system

Abstract

The invention discloses a vehicle operation regulation and control method of an urban road traffic system. The method comprises the steps that S1) a character or voice template is arranged in advance;S2) traffic data is collected and uploaded to a cloud server; S3) the cloud server receives the traffic data, and processes the traffic data on the basis of a neural network algorithm to obtain vehicle flowrate prediction data; S4) the cloud server transmits the vehicle flowrate prediction data to a device in the terminal side; S5) the device in the terminal side receives data returned from the cloud server, stores the data in a local storage device, and processes the data; and S6) whether the vehicle flowrate prediction data exceeds a threshold boundary value is detected, if YES, plan path information generated by the cloud server is issued to the device in the terminal side, and otherwise, the character template is presented in the device in the terminal side. The urban road traffic system can be regulated and controlled intelligently, traffic jam is predicted and prompted, and the driving safety and efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of traffic, and more specifically, to a method for controlling vehicle operation in an urban highway traffic system. Background technique [0002] With the development of the automobile industry, while automobiles bring various conveniences to people, they also create a series of problems, such as traffic congestion, environmental pollution, traffic accidents, etc. my country's traffic conditions lie in the mixed traffic of motor vehicles and non-motor vehicles, the large number of bicycles, the large number of motor vehicles, and the limited capacity of the road network. One of the problems that needs to be solved in the implementation of the strategy of strengthening the country is traffic congestion. In the field of road traffic control, there are many unsolvable problems in the information system for traffic monitoring, data collection and processing, especially in the intersection control, there are pro...

AI Technical Summary

Problems solved by technology

However, there are still defects, such as complex algorithm design, inability to realize self-learning, poor real-time performance, etc.

However, there are still deficiencies, such as poor real-time performance and low efficiency of driving behavior reminders for large-scale urban road network traffic systems.

Images