Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction-Reference-Cited by-同舟云学术

Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction

Author:

Man Cheuk Ki¹^ORCID,Quddus Mohammed²,Theofilatos Athanasios³^ORCID,Yu Rongjie⁴,Imprialou Marianna⁵

Affiliation:

1. School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, Leicestershire, U.K

2. Department of Civil and Environmental Engineering, Imperial College London, London, U.K

3. Department of Civil Engineering, University of Thessaly, Volos, Greece

4. Key Laboratory of Road and Traffic Engineering of Ministry of Education, Shanghai, China

5. Atkins, London, U.K

Funder

Chinese National Natural Science Foundation of China

Shanghai Education Development Foundation and Shanghai Municipal Commission through Chenguang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference72 articles.

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