Intelligent City Traffic Scheduling Optimization Based on Internet of Things Communication
Author(s) -
Jingwen Jiang
Publication year - 2021
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2021/7823982
Subject(s) - computer science , smart city , internet of things , robustness (evolution) , the internet , traffic system , architecture , public transport , scheduling (production processes) , intelligent transportation system , traffic engineering , ant colony optimization algorithms , transport engineering , computer network , computer security , artificial intelligence , world wide web , art , economics , visual arts , biochemistry , chemistry , operations management , engineering , gene
The application of Internet of Things technology in the construction of smart city traffic system is the inevitable choice of smart city traffic system to promote the development of road traffic in the process of urban development. First of all, the traffic in the city, on the basis of the research background and significance, research on the Internet of Things, and wisdom of the construction of the urban traffic are summarized and analyzed; secondly, on the basis of requirement analysis and feasibility analysis, combined with the principles and goals of the construction of the system, the establishment of the model of urban traffic based on Internet of Things and the city’s architecture based on Internet of Things intelligent urban traffic system and design are put forward. Finally, an improved ant colony algorithm is proposed in the aspect of system optimal path algorithm, and its superiority is verified. The results show that complementary networks can significantly improve the robustness of networks. These conclusions provide a theoretical basis for the construction of smart city public transport network traffic scheduling and provide model support for the operation and management of smart city public transport.
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