QoE-based traffic scheduling big data system and method

Abstract

The invention discloses a QoE-based traffic scheduling big data system and method. The system comprises an infrared sensor, a crossing camera terminal device, a data transmission network, a big data processing core platform, a traffic control center and a traffic signal terminal. Data is acquired through the infrared sensor and the crossing camera terminal device, then the data is transmitted to the big data processing core platform through the data transmission network, a background gives an optimized solution scheme, then the traffic control center executes the scheme, and thus real-time scheduling of the traffic signal terminal is realized. Through the QoE-based traffic scheduling big data system and method, traffic data of each area of a city is monitored in real time, the big data processing core platform performs analyzing processing and data mining, the data of different areas, different roads, different time periods, different motor vehicles, pedestrians and the like are taken into integrated consideration, the optimized scheduling scheme is calculated, through real-time control, area coordination, stereo scheduling, intelligent recommendation and the like of traffic signals, the road pass rate and the area coordination capability are improved, congestion is mitigated, and the area scheduling quality and the QoE are improved.

Description

technical field [0001] The QoE-based traffic dispatching big data system and method described in the present invention belong to the field of intelligent transportation. Background technique [0002] Traffic lights are the basic language of road traffic, and are an important tool to strengthen road traffic management, reduce traffic accidents, improve road use efficiency, and improve traffic conditions. The traffic signal real-time control system includes cameras, signal lights and control boxes installed at each traffic crossing, as well as a computer network that connects all cameras, signal lights and control boxes, and is connected with the traffic management system. , Overall coordination and control of the timing scheme of traffic lights in the entire control area, balance the traffic flow in the road network, and minimize the number of stops, delays and environmental pollution. The new traffic signal real-time dispatch system can consider artificial intelligence, int...

AI Technical Summary

Problems solved by technology

[0003] But the shortcomings of the current traffic signal dispatching system are also obvious

First of all, the existing traffic signal management system does not consider the user's quality of experience QoE. For example, it cannot dynamically and intelligently adjust the signal light duty cycle according to the real-time traffic conditions such as morning and evening peaks and holiday peak traffic flow. The existing fixed-cycle signal light scheduling not only has poor user experience quality , also increases the probability of road blockage and the probability of violation

Secondly, it is difficult for the existing system to generate reasonable traffic decision-making recommendations based on the collected data, and the accuracy of scheduling cannot be guaranteed. For example, when there are no motor vehicles driving in the horizontal direction, pedestrians and motor vehicles in the vertical direction have to wait for a long time. Still need a lot of human participation, human intervention and human judgment

Thirdly, when various signals and data are transmitted to the control center, the data information lacks further integration and utilization, and it is impossible to comprehensively analyze the data sources of multiple information-aware nodes, and it is impossible to dig deep data values. When a certain area is blocked, it cannot be reasonably Use connected roads to alleviate its congestion state, and the level of intelligence and automation is low

[0004] In China, with the development and progress of Internet technology, conditions have been provided for the development of a QoE-based traffic dispatching big data system and method. However, there is rarely a QoE-based traffic dispatching big data system and method on the market

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