A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective

A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective

One contemporary policy to deal with traffic congestion is the design and implementation of forecasting methods that allow users to plan ahead of time and decision makers to improve traffic management. Current data availability and growing computational capacities have increased the use of machine l...

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Bibliographic Details
Main Authors: Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Traffic forecasting
supervised learning
machine learning
deep learning
intelligent transportation systems
Online Access:https://ieeexplore.ieee.org/document/8716658/

Internet

https://ieeexplore.ieee.org/document/8716658/

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