Prediction of the vehicle lane‐changing distance in an urban inter‐tunnel weaving section based on wavelet transform and dual‐channel neural network

Prediction of the vehicle lane‐changing distance in an urban inter‐tunnel weaving section based on wavelet transform and dual‐channel neural network

Abstract Vehicle lane‐changing behaviour is often regarded as transient traffic behaviour while ignoring behavioural characteristics of the lane‐changing process. A combined prediction model based on wavelet transform (WT) and dual‐channel neural network (DCNN) is proposed to explore the selection b...

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Bibliographic Details
Main Authors: Changfeng Zhu, Chun An, Runtian He, Chao Zhang, Linna Cheng
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:IET Intelligent Transport Systems
Subjects:
Influence Factor Analysis
Urban Inter‐tunnel Weaving Section
Vehicle Lane‐changing Distance
WT‐DCNN
Online Access:https://doi.org/10.1049/itr2.12552

Internet

https://doi.org/10.1049/itr2.12552

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