Multi-feature hybrid network for traffic flow prediction based on mobility patterns-Reference-Cited by-同舟云学术

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Multi-feature hybrid network for traffic flow prediction based on mobility patterns

Published:2024-10 Issue: Volume:681 Page:121157
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wu Xuesong^ORCID,Pan Tianlu,You Linlin,He Zhaocheng^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Estimation of parameters in models for traffic prediction: A non-linear regression approach;Högberg;Transp. Res.,1976

2. Traffic congestion monitoring using an improved kNN strategy;Harrou;Measurement: Journal of the International Measurement Confederation,2020

3. An improved K-nearest neighbor model for short-term traffic flow prediction;Zhang;Procedia. Soc. Behav. Sci.,2013

4. Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: theoretical basis and empirical results;Williams;J. Transp. Eng.,2003

5. Classification of diffusion modes in single-particle tracking data: feature-based versus deep-learning approach;Kowalek;Phys. Rev. E,2019

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