A Two-Stage Decomposition-Reinforcement Learning Optimal Combined Short-Time Traffic Flow Prediction Model Considering Multiple Factors

A Two-Stage Decomposition-Reinforcement Learning Optimal Combined Short-Time Traffic Flow Prediction Model Considering Multiple Factors

Accurate short-term traffic flow prediction is a prerequisite for achieving an intelligent transportation system to proactively alleviate traffic congestion. Considering the complex and variable traffic environment, so that the traffic flow contains a large number of non-linear characteristics, whic...

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Bibliographic Details
Main Authors: Dayi Qu, Kun Chen, Shaojie Wang, Qikun Wang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
short-term traffic flow prediction
two-level decomposition
feature selection
reinforcement learning
combinatorial models
Online Access:https://www.mdpi.com/2076-3417/12/16/7978

Internet

https://www.mdpi.com/2076-3417/12/16/7978

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