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Smart city article details
| Title | The Twin Terminal Of Pedestrian Trajectory Based On City Intelligent Model (Cim) 4.0 |
|---|---|
| ID_Doc | 57051 |
| Authors | Chen X.; Lao X.; Kuan S.; Wang H.; Yang X.; Xie J.; Zhou J. |
| Year | 2024 |
| Published | ACM International Conference Proceeding Series |
| DOI | http://dx.doi.org/10.1145/3677892.3677896 |
| Abstract | To further promote the development of smart cities, the microscopic "nerve endings"of the City Intelligent Model (CIM) are extended to be more sensitive. In this paper, we develop a pedestrian trajectory twin terminal based on the CIM and CNN technology. It also uses 5G networks, architectural and geoinformatics technologies, convolutional neural networks, combined with deep learning networks for human behaviour recognition models, to provide empirical data such as 'pedestrian flow data and human behavioural characteristics data', and ultimately form spatial performance evaluation criteria and spatial performance warning systems, to make the empirical data accurate and intelligent for prediction and decision making. © 2024 Copyright held by the owner/author(s). |
| Author Keywords | artificial intelligence; CIM; Convolutional Neural Network; urban governance; Urban planning |
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