Dynamic attention aggregated missing spatial–temporal data imputation for traffic speed prediction-Reference-Cited by-同舟云学术

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Dynamic attention aggregated missing spatial–temporal data imputation for traffic speed prediction

Published:2024-11 Issue: Volume:607 Page:128441
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Bikram Pritam^ORCID,Das Shubhajyoti^ORCID,Biswas Arindam^ORCID

Publisher

Elsevier BV

Reference56 articles.

1. Deep learning for intelligent transportation systems: A survey of emerging trends;Veres;IEEE Trans. Intell. Transp. Syst.,2019

2. Short-term traffic flow forecasting method with MB-LSTM hybrid network;Zhaowei;IEEE Trans. Intell. Transp. Syst.,2020

3. Signal cooperative control with traffic supply and demand on a single intersection;Zhihui;IEEE Access,2018

4. Anomaly detection and classification in traffic flow data from fluctuations in the flow–density relationship;Kalair;Transp. Res. C,2021

5. Application of subset autoregressive integrated moving average model for short-term freeway traffic volume forecasting;Lee;Transp. Res. Rec.,1999

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