University science and technology: data "multiple running away" away from traffic "obstruction" [full text]

The science and technology dynamic Mercedes-Benz vehicle flow is transformed into an information data, a “scheduled” signal light, a smart road stick that can be analyzed through networking, and a shared parking space using blockchain technology. It was learned from Nanjing University of Science and Technology that the school’s “Intelligent Traffic Information Perception and Data Analysis Engineering Laboratory in Jiangsu Province” is about to build a “Nanjing University of Science and Technology—Tencent Internet+Combined Innovation Laboratory for Traffic Big Data Application” with Tencent Corporation. Multi-dimensional intelligent transportation systems have been rolled out, and traditional urban roads and freeways have become intelligent neural networks.
The survey shows that the urbanization rate in China has exceeded 57.4%, and the urban population has reached 790 million. At the same time, the ownership of private cars has grown rapidly, and the average annual growth rate of private car ownership in first-tier cities has reached 20%. By studying the data of the Gaode map, compared with 2015, 80% of the 45 major cities surveyed in 2016 showed an increase in the delayed congestion index. Among them, the average hourly congestion time for north, high, wide, and deep travel periods is 29 minutes, and the annual congestion cost for travel residents has reached 9,500 yuan, which is equivalent to 12% of individual average annual income.
“Traditional roads are driven by vehicles. The future of intelligent transportation is running on the road.” Professor Qi Yong, the director of the lab, believes that the speed of road construction will never be able to keep up with traffic congestion, through the Internet of Things, big data, cloud computing, Technologies such as regional chains and artificial intelligence will make traffic smarter, road access more efficient, and travel more intelligent. This will be the starting point for future urban traffic congestion.
Prof. Qi Yong introduced that the laboratory consists of School of Electronic Engineering and Optoelectronic Technology, School of Computer Science and Engineering, School of Automation, Department of Transportation Engineering, School of Economics and Management, Nanjing University of Science and Technology.
And the International Interdisciplinary Collaborative Innovation Academic Team of the Intelligent Transportation Research and Application Laboratory at the University of Washington, and has worked closely with more than 10 domestic universities and high-tech companies.
At the signalized intersection, the phenomenon of "red lights, long queues, green lights, and car-free traffic" has occurred from time to time. However, the citizens living in Nanjing, Hexi, discovered that the efficiency of the crossing of Jiangdong Road with trams, cars, and non-motor vehicles is not compromised at all, and it seems to be in order. This is the “intersection adaptive control system based on holographic 3D radar”. The credit.
In the existing traffic signal control system, the signal light is controlled at a regular time, because the road traffic condition cannot be “seen”, and the “brains” that are calculated and analyzed for a reasonable length of time are not available, so the above-described delirium phenomenon will occur. The holographic 3D radar integrates three functions: speed measurement, distance measurement and angle measurement. It can monitor the traffic, speed, queue length, vehicle type, and headway time of vehicles in an area with a width of up to 8 lanes and a maximum distance of 220 meters. Waiting for traffic flow information. After the system receives the traffic data, it calculates a real-time matching signal timing plan. This "spontaneously changing" traffic signal can increase the traffic capacity by 40%.
At present, the system has been applied to the control of Hexi trams, the traffic condition monitoring of Jiangbei Expressway, and the intersection control of Wuxi Central. In the next two years, 1,000 systems will be put into Nanjing.
A bowl-sized metal plate is shallow and shallow on the road surface, and without external power supply, it can sense the speed, length, and vehicle type of passing vehicles. This is the smart road stick jointly developed by the Nanjing University of Science and Technology and the Intelligent Transportation Research and Applied Research Center of the University of Washington. It is also good at organizing group operations, and it can also communicate via self-organized networks between various roads and posts, and uploads the perception information to the laboratory intelligent traffic big data platform for analysis and judgment. Traditional highways do not require human observation and control, and they can achieve a smart upgrade from ensuring access to improving efficiency.
At present, this achievement has been demonstrated and applied in the Washington, USA, and the Nanjing High-tech University and Nanjing University of Science and Technology, and will be extended to the Guangjing Xicheng Expressway. It breaks through the shortcomings of the traditional sense coils and video surveillance systems, and the accuracy of traffic data can reach 99.8%.
Most of the parking spaces in the community are idle at the time of working hours, but vehicles operating in the vicinity are troubled by insufficient public parking space.
This summer vacation, the lab organizes teachers and more than 20 college students and postgraduate students, using Extreme Programming, to introduce blockchain technology into the sharing management of parking spaces. After several districts around the Nanjing University of Science and Technology tried out the blockchain-based intelligent parking management system platform developed by the laboratory, the problem of difficult parking is being alleviated.
"Especially in big cities, 20% - 30% of vehicles on the road are not driving. These vehicles are actually looking for parking spaces." Professor Qi Yong told reporters that urban traffic consists of two parts: dynamic and static. Static is mainly Refers to the parking of vehicles. “We solved the parking contradiction through the summer vacation camp of the university students' intelligent transportation and shared the parking spaces and obtained the strong support of the Nanjing Parking Service Industry Association.”
At present, this laboratory's collaborative intelligent transportation technology featuring traffic intelligence ubiquitous IntelliSense and traffic big data analysis is injecting new vitality into the development of intelligent transportation industry. Since its establishment, the laboratory has undertaken more than 20 national, provincial and ministerial level science and technology and talent projects in the fields of intelligent transportation, smart cities and wireless sensor network networking, big data analysis and intelligent control, and published academic papers. More than 100 articles, obtained more than 20 national and provincial-level awards for scientific and technological achievements, applied for and authorized more than 100 invention patents, registered more than 10 software copyrights, and presided over the formulation of 2 technical standards in the field of intelligent transportation. (Original title: Research in Universities: Intelligent Transportation Technology in Nanjing University of Science and Technology Blocked “Artifacts”)

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