An experience in using machine learning for short-term predictions in smart transportation systems

DOI10.1016/J.JLAMP.2016.11.002zbMath1359.68246OpenAlexW2559553728MaRDI QIDQ511935

Stefania Gnesi, Laura Semini, Davide Bacciu, Antonio Carta

Publication date: 22 February 2017

Published in: Journal of Logical and Algebraic Methods in Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jlamp.2016.11.002

zbMATH Keywords

predictionbike-sharing systemsmachine learning techniques

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Transportation, logistics and supply chain management (90B06) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (1)

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Uses Software

• SVMlight
• LIBSVM
• Scikit
• randomForest
• SVMTorch
• MLlib
• Apache Spark

Cites Work

• 10.1162/15324430152733142
• On-the-fly Fast Mean-Field Model-Checking
• Random forests
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