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Smart city article details

Title	Research On The Improvement Of Transportation Efficiency Of Smart City By Traffic Visualization Based On Pattern Recognition
ID_Doc	45802
Authors	Zhang Y.; Wang H.; Wang X.
Year	2023
Published	Neural Computing and Applications, 35, 3
DOI	http://dx.doi.org/10.1007/s00521-022-07222-4
Abstract	In order to improve the traffic visualization management technology of smart cities, this paper applies machine learning to smart traffic management, and uses machine learning methods to process and analyze traffic data generated in smart cities. Moreover, this paper uses it to understand the distribution law of traffic data and the internal connections between data, excavate traffic characteristics in smart cities, and accurately predict the future traffic situation, so as to solve the problems of traffic congestion and route planning in smart cities. Moreover, this paper combines improved machine learning algorithms to construct a traffic visualization management system, and designs experiments to verify the performance of the system proposed in this paper. It can be seen from the experimental research results that the method proposed in this paper can play an important role in the traffic management of smart cities. © 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
Author Keywords	Machine learning; Smart city; Smart recognition; Traffic visualization

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