Vehicle speed prediction via a sliding-window time series analysis and an evolutionary least learning machine: A case study on San Francisco urban roads

Engineering Science and Technology, an International Journal

Volumn 18, Issue 2, 2015, Pages 150-162

  Mozaffari, Ladan ^a   Mozaffari, Ahmad ^b   Azad, Nasser L ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Intelligent tools; Predictive control; Sliding window time series forecasting; Speed prediction; Vehicle powertrains

Indexed keywords

EID: 85017347981     PISSN: None     EISSN: 22150986     Source Type: Journal    
DOI: 10.1016/j.jestch.2014.11.002     Document Type: Article

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