A traffic-weather generative adversarial network for traffic flow prediction for road networks under bad weather-Reference-Cited by-同舟云学术

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A traffic-weather generative adversarial network for traffic flow prediction for road networks under bad weather

Published:2024-11 Issue: Volume:137 Page:109125
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Wensong,Yao Ronghan^ORCID,Yuan Ying,Du Xiaojing,Wang Libing,Sun Feng

Publisher

Elsevier BV

Reference66 articles.

1. An improved deep belief network for traffic prediction considering weather factors;Bao;Alex. Eng. J.,2021

2. Spatial-temporal complex graph convolution network for traffic flow prediction;Bao;Eng. Appl. Artif. Intell.,2023

3. Short-term traffic flow forecast of expressway under heavy rain;Cai;Comput. Eng.,2020

4. Acting as a decision maker: traffic-condition-aware ensemble learning for traffic flow prediction;Chen;IEEE Trans. Intell. Transport. Syst.,2022

5. DeepTrend 2.0: a light-weighted multi-scale traffic prediction model using detrending;Dai;Transport. Res. C Emerg. Technol.,2019

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