Anthem 发表于 2025-3-23 13:25:55

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arabesque 发表于 2025-3-23 17:52:06

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骚扰 发表于 2025-3-23 20:02:04

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Endearing 发表于 2025-3-24 01:12:32

Combined PCA and NB to Predict Traffic Incident Duration,nts worked best. Besides, the prediction accuracy was 77.46%, 82.08% and 86.34% for each type of incident within 20 min’ error, respectively. In conclusion, the results showed that the combined model of PCA and NB is a promising application to predict incident duration.

Femish 发表于 2025-3-24 05:25:32

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spondylosis 发表于 2025-3-24 07:21:28

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巫婆 发表于 2025-3-24 14:20:33

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Bereavement 发表于 2025-3-24 16:47:37

Combined PCA and NB to Predict Traffic Incident Duration,ions for traffic managers. As the characteristics are significantly different from each other, models were established for each type of incident, i.e. stopped-vehicle incidents, lost-load incidents and accidents. After data pretreatment, Principal component analysis (PCA) was carried out for each ty

CONE 发表于 2025-3-24 22:27:36

Improve the Urban Basic Construction of Facilities and Guarantee the Urban Traffic Flow,etworks. It analyzes the present state of traffic-nodes, digs out the reasons for this. Furthermore, it brings up feasible solutions and scheme. It draws summary and reflection of the integrated traffic networks construction, and notes them down as valuable experience for the subsequent engineering.

拔出 发表于 2025-3-25 00:21:08

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查看完整版本: Titlebook: International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings; Branch of ISADS (The Xiaoqing Zeng,Xiongyao