Research on the improvement of transportation efficiency of smart city by traffic visualization based on pattern recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07222-4.pdf
Reference23 articles.
1. Chen X, Wang HH, Tian B (2019) Visualization model of big data based on self-organizing feature map neural network and graphic theory for smart cities. Clust Comput 22(6):13293–13305
2. Shan Z, Pan Z, Li F et al (2018) Visual analytics of traffic congestion propagation path with large scale camera data. Chin J Electron 27(5):934–941
3. Kim M, Jo W, Kim J et al (2019) Visualization for internet of things: power system and financial network cases. Multimedia Tools Appl 78(3):3241–3265
4. Ruan Z, Miao Y, Pan L et al (2017) Visualization of big data security: a case study on the KDD99 cup data set. Digital Commun Netw 3(4):250–259
5. Pei W, Wu Y, Wang S et al (2018) Bvis: urban traffic visual analysis based on bus sparse trajectories. J Visual 21(5):873–883
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