Attention mechanism‐based model for short‐term bus traffic passenger volume prediction

Attention mechanism‐based model for short‐term bus traffic passenger volume prediction

Abstract To explore the relevance between bus stops and make the real‐time prediction of bus passenger flow more accurate, this paper proposes a Traffic Forecast Model based on the Attention mechanism (TFMA). The model combines data preprocessing with bus stops’ information coding to predict short‐t...

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Bibliographic Details
Main Authors: Zhenyu Mei, Wanting Yu, Wei Tang, Jiahao Yu, Zhengyi Cai
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:IET Intelligent Transport Systems
Subjects:
attention mechanism
bus stop information encoding
intelligent transportation
multi‐headed mechanism
real‐time relevance of bus stops
short‐term bus traffic passenger flow prediction
Online Access:https://doi.org/10.1049/itr2.12302

Internet

https://doi.org/10.1049/itr2.12302

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