Multi‐model ensemble for short‐term traffic flow prediction under normal and abnormal conditions
Author:
Affiliation:
1. College of Civil Engineering and Architecture, Zhejiang UniversityHangzhou310058People's Republic of China
2. Department of AutomationTsinghua UniversityBeijing100084People's Republic of China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institution of Engineering and Technology (IET)
Subject
Law,Mechanical Engineering,General Environmental Science,Transportation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2018.5155
Reference36 articles.
1. Comparison of parametric and nonparametric models for traffic flow forecasting
2. Short‐term traffic forecasting: Overview of objectives and methods
3. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
4. Short-term traffic forecasting: Where we are and where we’re going
5. Short-Term Prediction of Traffic Volume in Urban Arterials
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