Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning-Reference-Cited by-同舟云学术

Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning

Published:2024-02-22 Issue:1 Volume:12 Page:
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Ye Bao-Lin¹²,Zhu Shiwei¹²,Li Lingxi³,Wu Weimin⁴

Affiliation:

1. School of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang, People's Republic of China

2. School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, People's Republic of China

3. Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA

4. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, People's Republic of China

Funder

Zhejiang Provincial Natural Science Foundation of China

Jiaxing Public Welfare Research Program

Science and Technology Program of Zhejiang Province of China

National Natural Science Foundation of China

Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2316160

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3. Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity

4. Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting

5. Csikós A. Viharos Z. J. Kis K. B. Tettamanti T. & Varga I. (2015). Traffic speed prediction method for urban networks—an ANN approach. In Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (pp. 102–108). IEEE.

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