Traffic control system for whole segments of main street based on big data

Abstract

The present invention discloses a traffic control system for whole segments of a main street based on big data, wherein the main street comprises first to N-th crossings. The traffic control system comprises: a computer control subsystem; first to N-th positioning and flow density acquisition apparatuses which are respectively arranged in the first to N-th crossings and are respectively used for acquiring first traffic flow information about vehicles which will pass the crossing to which the positioning and flow density acquisition apparatus belongs in a first direction in real time and transmitting the first traffic flow information to the computer control subsystem; wherein the computer control subsystem is used for performing analysis according to the first traffic flow information to obtain a first traffic flow density and a first average speed of the vehicles passing the current crossing, calculating the time spent by the vehicle in the first direction in driving from the current crossing to the next crossing according to the first average speed and the distance from the current crossing to the next crossing, and controlling the turn-on time of a green light at the next crossing according to the time, so that the vehicles passing the current crossing in the first direction can pass the next crossing conveniently and smoothly until the vehicles in the first direction pass the N-th crossing on the main street.

Description

technical field [0001] The invention relates to a traffic control system, in particular to a traffic control system for the whole section of a main road to which each group of traffic lights belongs. Background technique [0002] At present, urban traffic management and traffic control issues such as urban road traffic safety, traffic congestion, and traffic pollution emissions caused by factors such as the structure of urban roads and traffic design, and the supply and demand relationship of the entire city, rely on the current traffic management and signal control. The management mode of road traffic time cannot be collected and analyzed and controlled in real time according to the traffic flow and road traffic conditions on the controlled road. Establish big data application models related to urban traffic, traffic management and traffic control, vehicle road traffic statistics and traffic control based on big data, and realize adaptive traffic signal management, real-t...

AI Technical Summary

Problems solved by technology

[0003] One is that it does not have communication functions. Due to the different construction and development times of various traffic control systems in various areas of the city and the differences in road construction planning, the traffic signal control systems in various areas of the city are diversified, and the compatibility between systems is poor. The communication methods are not unified, which is not convenient for the overall management and analysis of traffic signal control data

[0004] The second is that in the regional traffic signal control system, the signal control parameters are adaptively and reasonably configured to achieve coordinated control. The technical problems of implementing real-time monitoring and management of a large number of intersection controllers require a large amount of capital investment and time investment, which cannot be solved in a timely manner. question

[0005] Third, because the regional road network cannot realize the automatic calibration of the basic clock, the reference clock is prone to errors, resulting in the failure of the green wave belt control of continuous multi-intersection road belts

[0006] Fourth, the intelligence of the signal machine is poor, and it lacks the fault self-diagnosis function. When the signal machine at the intersection fails, the signal machine should classify the faults, handle different faults differently, and upload the faults to the control system

[0007] Fifth, it does not have the function of requesting traffic conditions on the road surface and pedestrians crossing the street. If the pedestrian crossing signal machine installed on the road section cannot coordinate with the green wave control of the continuous multi-intersection road belt of the main road, it will have a great impact on the green wave control effect of the main road. It even caused the failure of the control of the green wave belt on the continuous multi-intersection road belt of the main road

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