Unsupervised anomaly detection based method of risk evaluation for road traffic accident
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03501-8.pdf
Reference38 articles.
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4. Shah SAR, Ahmad N, Shen Y, Kamal MA, Basheer MA, Brijs T (2019) Relationship between road traffic features and accidents: an application of two-stage decision-making approach for transportation engineers. J Saf Res 69:201–215
5. Cheng Z (2021) et al. Improved autoencoder for unsupervised anomaly detection 36(12):7103–7125
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