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Applied Artificial Intelligence

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Volume 36, 2022 - Issue 1

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Research Article

Prediction in Traffic Accident Duration Based on Heterogeneous Ensemble Learning

Yuexu ZhaoCollege of Economics, Hangzhou Dianzi University, Hangzhou, China

Wei DengCollege of Economics, Hangzhou Dianzi University, Hangzhou, ChinaCorrespondence[email protected]

Article: 2018643 | Received 30 Sep 2021, Accepted 09 Dec 2021, Published online: 08 Jan 2022

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https://doi.org/10.1080/08839514.2021.2018643
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Haitao LiQian CaoXianmin Song & Hongyu Hu. (2023) Traffic Incident Impact Dynamic Prediction with Information Enhancement Cascade Forest. Journal of Transportation Engineering, Part A: Systems 149:7.
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Huiping Li & Yunxuan Li. (2023) A Novel Explanatory Tabular Neural Network to Predicting Traffic Incident Duration Using Traffic Safety Big Data. Mathematics 11:13, pages 2915.
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Khaled Hamad, Lubna Obaid, Ali Bou Nassif, Saleh Abu Dabous, Rami Al-Ruzouq & Waleed Zeiada. (2023) Comprehensive evaluation of multiple machine learning classifiers for predicting freeway incident duration. Innovative Infrastructure Solutions 8:6.
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Afaq Khattak, Pak-Wai Chan, Feng Chen & Haorong Peng. (2023) Time-Series Prediction of Intense Wind Shear Using Machine Learning Algorithms: A Case Study of Hong Kong International Airport. Atmosphere 14:2, pages 268.
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Aleksandar Aleksić, Milan Ranđelović & Dragan Ranđelović. (2023) Using Machine Learning in Predicting the Impact of Meteorological Parameters on Traffic Incidents. Mathematics 11:2, pages 479.
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Afaq Khattak, Pak-Wai Chan, Feng Chen & Haorong Peng. (2022) Prediction and Interpretation of Low-Level Wind Shear Criticality Based on Its Altitude above Runway Level: Application of Bayesian Optimization–Ensemble Learning Classifiers and SHapley Additive exPlanations. Atmosphere 13:12, pages 2102.
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Jiaona Chen & Weijun Tao. (2022) Traffic accident duration prediction using text mining and ensemble learning on expressways. Scientific Reports 12:1.
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Qiang Shang, Tian Xie & Yang Yu. (2022) Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data. International Journal of Environmental Research and Public Health 19:17, pages 10903.
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Emmanuel O. Eze, Simeon Keates, Kamran Pedram, Alireza Esfahani & Uchenna Odih. (2022) An Event-based Intelligent Vehicle Rerouting for Efficient Traffic Management for Connected Vehicles. An Event-based Intelligent Vehicle Rerouting for Efficient Traffic Management for Connected Vehicles.

Rambabu Pothina & Rajive Ganguli. (2022) The Importance of Specific Phrases in Automatically Classifying Mine Accident Narratives Using Natural Language Processing. Knowledge 2:3, pages 365-387.
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