Graph neural network for traffic forecasting: The research progress

W Jiang, J Luo, M He, W Gu - ISPRS International Journal of Geo …, 2023 - mdpi.com
Traffic forecasting has been regarded as the basis for many intelligent transportation system
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …

[HTML][HTML] Multi-view travel time prediction based on electronic toll collection data

S Luo, F Zou, C Zhang, J Tian, F Guo, L Liao - Entropy, 2022 - mdpi.com
The travel time prediction of vehicles is an important part of intelligent expressways. It can
not only provide the vehicle distribution trend of each section for the expressway …

Analysis on lane capacity for expressway toll station using toll data

H Wang, F Zou, J Tian, F Guo… - Journal of Advanced …, 2022 - Wiley Online Library
Toll stations are bottlenecks in the traffic flow of expressways, and the evaluation of their
capacity is essential for the operation of the expressway. Traditional capacity studies are …

Positioning method of expressway ETC gantry by multi‐source traffic data

F Guo, F Zou, S Luo, H Chen, X Yu… - IET Intelligent …, 2024 - Wiley Online Library
With the rapid development of expressway Electronic Toll Collection (ETC) technology in
China, the expressway management system is becoming digital and intelligent, which …

Research and design of simulation and verification system of intelligent expressway based on ETC big data

F Zou, N Li, F Guo, Q Cai, X Cai - Heliyon, 2023 - cell.com
Electronic toll collection (ETC) system records a large number of travel trajectories of
vehicles on expressways, and it has a great potential application value. However, the …

Deep Learning-Based Approaches Using Feature Selection Methods for Automatic Diagnosis of COVID-19 Disease from X-Ray Images

B Taşci - Deep Learning Applications in Image Analysis, 2023 - Springer
The COVID-19 pandemic caused by the SARS-CoV-2 virus, which arose in Wuhan, Hubei
province, China, on 31 December 2019 and rapidly spread to six continents and hundreds …

CSFPre: Expressway key sections based on CEEMDAN-STSGCN-FCM during the holidays for traffic flow prediction

L Chen, Q Ren, J Zeng, F Zou, S Luo, J Tian, Y **ng - Plos one, 2023 - journals.plos.org
The implementation of the toll free during holidays makes a large number of traffic jams on
the expressway. Real-time and accurate holiday traffic flow forecasts can assist the traffic …

Expressway traffic flow prediction based on MF-TAN and STSA

X Zhang, Q Ren, Y Zhang, C Quan, S Guo, F Li - Plos one, 2024 - journals.plos.org
Highly accurate traffic flow prediction is essential for effectively managing traffic congestion,
providing real-time travel advice, and reducing travel costs. However, traditional traffic flow …

The dynamics of traffic congestion: Data from a freeway Electronic Toll Collection system

TS Choi, K To, KYM Wong - Physica A: Statistical Mechanics and its …, 2024 - Elsevier
Abstract Electronic Toll Collection systems installed at regular intervals along freeways
provide a tremendous amount of individualized vehicle data useful for traffic analyses and …

An over-the-horizon potential safety threat vehicle identification method based on ETC big data

G Luo, F Zou, F Guo, J Liu, X Cai, Q Cai, C **a - Heliyon, 2023 - cell.com
Smart cars rely on sensors like LIDAR and high-precision map-based perception for driving
environment sensing. However, they can't detect low-speed vehicles beyond visual range …