Forecasting of Bicycle and Pedestrian Traffic Using Flexible and Efficient Hybrid Deep Learning Approach

Forecasting of Bicycle and Pedestrian Traffic Using Flexible and Efficient Hybrid Deep Learning Approach

Recently, increasing interest in managing pedestrian and bicycle flows has been demonstrated by cities and transportation professionals aiming to reach community goals related to health, safety, and the environment. Precise forecasting of pedestrian and bicycle traffic flow is crucial for identifyin...

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Bibliographic Details
Main Authors: Fouzi Harrou, Abdelkader Dairi, Abdelhafid Zeroual, Ying Sun
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
variational autoencoder
self-attention
hybrid deep learning
traffic flow forecasting
Online Access:https://www.mdpi.com/2076-3417/12/9/4482

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https://www.mdpi.com/2076-3417/12/9/4482

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