City buses’ future velocity prediction for multiple driving cycle: A meta supervised learning solution

City buses’ future velocity prediction for multiple driving cycle: A meta supervised learning solution

Abstract Vehicular velocity prediction is of great significance to intelligent transportation system, as it provides a possible future velocity sequence for vehicle's decision‐making system. A velocity prediction method via meta learning is proposed, which provides an adaptive and generative fr...

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Bibliographic Details
Main Authors: Jianfei Cao, Hongwen He, Xing Cui
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:IET Intelligent Transport Systems
Subjects:
Traffic engineering computing
Supervised learning
Neural nets
Online Access:https://doi.org/10.1049/itr2.12019

Internet

https://doi.org/10.1049/itr2.12019

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