Variable-length traffic state prediction and applications for urban network with adaptive signal timing plan-Reference-Cited by-同舟云学术

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Variable-length traffic state prediction and applications for urban network with adaptive signal timing plan

Published:2024-03 Issue: Volume:637 Page:129566
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Huang Hai-chao,He Hong-di,Zhang Zhe,Ma Qing-hai,Xue Xing-kuo,Zhang Wen-xiu

Funder

Shanghai Science and Technology Development Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference45 articles.

1. Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway;He;Transp. Res. Part Transp. Environ,2024

2. Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow;Andreotti, Selpi;J. Intell. Connect. Veh,2023

3. Attention-based spatio-temporal graph convolutional network considering external factors for multi-step traffic flow prediction;Ye;Digit. Commun. Netw.,2022

4. Road section traffic flow prediction method based on the traffic factor state network;Zhang;Phys. Stat. Mech. Its Appl.,2023

5. City traffic prediction based on real-time traffic information for Intelligent Transport Systems;Liang,2013

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1. Research on Traffic Signal Cycle Recognition Based on Cycle Recognition Algorithm and Cluster Analysis;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

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