Controlling method and system for intelligent signal lights based on big data

A technology of intelligent signal lights and control methods, applied in the traffic control system of road vehicles, traffic control systems, transmission systems, etc., can solve the problems of poor passenger experience, waste of fuel, inaccurate control, etc., and achieve a large-scale intelligent traffic system Simple, reduce pollutant discharge, improve the effect of traffic capacity

Inactive Publication Date: 2018-12-25
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are the following problems in its time-based control: 1. Inaccurate control; 2. It cannot cope with large fluctuations in traffic flow within a certain period of time.
However, due to the large body of the bus itself, its large mass and high inertia, frequent starting and stopping has not always given passengers a very good feeling, and compared with ordinary vehicles, its starting, braking and other operations waste more fuel and generate more energy. Pollutants

Method used

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  • Controlling method and system for intelligent signal lights based on big data
  • Controlling method and system for intelligent signal lights based on big data
  • Controlling method and system for intelligent signal lights based on big data

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Embodiment 2

[0111] This embodiment provides a big data-based intelligent signal light control system, and the system of this embodiment adopts the big data-based intelligent signal light control method described in Embodiment 1. like figure 1 As shown in the figure, the system includes a signal light set at the intersection; a camera for collecting traffic flow video data at the intersection; a YOLO algorithm-based intelligent identification controller for identifying the collected traffic flow video data using the YOLO image recognition method to obtain the traffic demand at the intersection ;An adaptive fuzzy controller used to control the duration of the signal light by adopting an adaptive fuzzy control method according to the traffic demand at the intersection; a cloud server used to store the video data of traffic flow, the traffic demand at the intersection and the status information of the signal light. The cloud server is respectively connected with the camera, the intelligent id...

Embodiment 3

[0120] This embodiment provides a bus speed optimization configuration system. Based on the settings of the signal light control system in Embodiment 2, the system obtains traffic demand at intersections and status information of signal lights by connecting with the cloud server in Embodiment 2. The vehicle speed optimization configuration system includes a positioning device, a wireless communication module, a first processor and a vehicle speed control reminder device arranged on the bus, the first processor is respectively connected with the positioning device, the wireless communication module and the vehicle speed control reminder device.

[0121] The wireless communication module establishes a wireless connection with the cloud server, and transmits the data acquired from the server to the first processor. A positioning device is provided on the bus to locate and detect the current position of the bus. Preferably, the positioning device is a GPS positioning device or a Be...

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Abstract

The invention discloses a controlling method and a system for intelligent signal lights based on big data. The signal lights is precisely controlled in real time according to current traffic flow at an intersection based on image recognition technology of YOLO algorithm and adaptive fuzzy control algorithm, so that traffic flow information collection and intelligent traffic lights control is realized; the big data sharing is performed in real time, and the current traffic lights and future traffic flow changes can be judged in time based on information sharing of the big data; and the trafficlights can be coordinated and controlled in real time by adjusting corresponding control strategy so as to effectively solve the traffic congestion problem caused by the traffic lights. Meanwhile based on real-time sharing of the big data realized by the controlling system for intelligent signal lights and through big data analysis, public transportation speed is configured to improve the abilityof public transportation, which is conducive to reducing fuel consumption and vehicle exhaust gas emissions, and achieving energy saving and emission reduction.

Description

technical field [0001] The present invention relates to the field of traffic control, in particular, to a method and system for controlling an intelligent signal light based on big data. Background technique [0002] In recent years, with the vigorous growth of my country's economy and the acceleration of the urbanization process, people's living standards have improved significantly, the number of motor vehicles has risen sharply, and the number of urban vehicles has continued to increase. The excess fuel consumption caused by traffic congestion has caused great energy waste and also caused great pollution to the environment. [0003] At present, there are two main control methods for urban traffic lights in my country: one is to use fixed-time timing control; the other is to use time-based control. [0004] Compared with the most traditional fixed-duration control, the time-based method is more advanced, and can alleviate the urban congestion problem to a certain extent. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/07G08G1/017G08G1/08G08G1/081H04L29/08
CPCG08G1/0175G08G1/07G08G1/08G08G1/081H04L67/1097
Inventor 尹逊虎陈元辉秦清尹亚飞何汉秦峰
Owner SHANDONG UNIV
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