Research on Intelligent Traffic Signal Optimization Control Based on Cloud Computing
DOI: 10.23977/ssge.2022.040104 | Downloads: 3 | Views: 395
Mengxin Li 1
1 School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, 255049 Shandong, China
Corresponding AuthorMengxin Li
With the development of my country's automobile industry and the acceleration of urbanization, automobiles have gradually entered people's families. At the same time, the rapid growth of private car ownership has made urban traffic problems increasingly prominent. It affects people's travel speed, which in turn affects production and work efficiency. The problem of urban traffic congestion has become a chronic traffic problem that is difficult to solve in my country's first- and second-tier cities. The rapid development of society and economy, the gradual improvement of people's living standards, and the continuous increase of motor vehicles in cities have led to increasingly prominent traffic problems, and the phenomenon of traffic congestion has become an urgent problem to be solved. To fundamentally solve this phenomenon, scientific management and control must be adopted. The increase of vehicles has brought great pressure to the urban traffic, and the urban traffic system itself is a huge system with strong randomness and complexity. By analyzing the existing traffic problems, based on the hardware facilities, a new optimization strategy is put forward aiming at the shortcomings of the existing algorithms, so as to facilitate intelligent traffic management. Therefore, cloud computing technology is used to intelligently analyze and process massive traffic data. On this basis, the development of traffic signal prediction and control system based on cloud computing platform can provide theoretical basis and technical support for traffic congestion control, and provide reference for the development and application of cloud computing in traffic field.
KEYWORDSCloud computing, Traffic signal, Intelligent transportation system
CITE THIS PAPER
Mengxin Li, Research on Intelligent Traffic Signal Optimization Control Based on Cloud Computing. Smart Systems and Green Energy (2022) Vol. 4: 16-23. DOI: http://dx.doi.org/10.23977/ssge.2022.040104.
 Qiu Jiandong, Xie Xiaoping, Tang Min 'an, et al. Research on optimal control of intelligent traffic signals based on traffic flow [J]. computer applications and software, 2018,35(1):5.
 Lu Dongxiang. Discussion on the design and implementation of intelligent traffic signal control system based on cloud computing [J]. Electronic World, 2017(18):2.
 Li Jiarui, Zhou Meng, Su Youhui. Design and implementation of intelligent traffic signal control system based on cloud computing technology [J]. China New Communication, 2020.(56):34.
 Miao Rong. Research on Intelligent Transportation System Based on Traffic Signal Congestion Control [J]. Microcomputer Application, 2019(2):4.
 Fan Jing, Zhang Wei. Research on Intelligent Traffic Control System Based on Dynamic Time Series Prediction Algorithm [J]. Modern Scientific Instruments, 2018(3):5.
 Wang Gang, Wang Chunlin, Dai Jiapeng, et al. Construction and application of urban intelligent traffic control system based on cloud computing [J]. Microcomputer Information, 2018,000(023):146-147,150-151.
 Wang Yiming, Deng Chen, Deng Gaoxu. Design of intelligent traffic signal control system based on fuzzy control [J]. Electronic Technology, 2017,30(8):5.
 Luo Quanqin. Intelligent Transportation Cloud: Analysis of Intelligent Transportation System Based on Cloud Computing [J]. Computer Knowledge and Technology: Academic Edition, 2017,13(12):2.
 Fang Wenjie. Research on the application of cloud computing technology in intelligent transportation [J]. Heilongjiang Science and Technology Information, 2020.(45):6.
 Liu Yubo. Talking about the research and application development status of intelligent traffic signal control strategy [J]. Electronic Test, 2019(1):4.