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Updated: May 26, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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条件生成对抗性基于网络的道路交通事故风险预测,考虑到与动态数据的异质性.

Nuri Park1, Juneyoung Park2, Chris Lee3

  • 1Hanyang University, Department of Smart City Engineering, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan 15588, Republic of Korea.

Journal of safety research
|February 22, 2025
PubMed
概括

本研究引入了一种新的实时撞车风险模型,使用集群数据增强与条件生成对抗网络 (CGAN) 和XGBoost,通过考虑撞车数据特征来改善交通安全预测.

关键词:
崩风险预测模型的模型.数据增强数据增强可解释的人工智能机器学习是机器学习.交通安全 交通安全 交通安全

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