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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Bibliografiska uppgifter
Huvudupphovsmän: Fouzi Harrou, Abdelkader Dairi, Abdelhafid Zeroual, Ying Sun
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2022-04-01
Serie:Applied Sciences
Ämnen:
variational autoencoder
self-attention
hybrid deep learning
traffic flow forecasting
Länkar:https://www.mdpi.com/2076-3417/12/9/4482
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