[HTML][HTML] Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction
Reliable and accurate traffic flow prediction is crucial for the construction and operation of
smart highways, supporting scientific traffic management and planning. However, accurately …
smart highways, supporting scientific traffic management and planning. However, accurately …
Traffic characteristics of short and long public holidays: a hybrid holiday-oriented speed prediction approach via feature engineering
I Atilgan, HI Turkmen, MA Guvensan - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Special holidays differ from regular week (end) days in terms of traffic characteristics due to
spatio-temporal bursts within the city. This results in the time spent in traffic during holidays …
spatio-temporal bursts within the city. This results in the time spent in traffic during holidays …
Urban traffic flow estimation system based on gated recurrent unit deep learning methodology for Internet of Vehicles
AHA Hussain, MA Taher, OA Mahmood… - IEEE …, 2023 - ieeexplore.ieee.org
Congestion in the world's traffic systems is a major issue that has far-reaching
repercussions, including wasted time and money due to longer commutes and more …
repercussions, including wasted time and money due to longer commutes and more …
Long-term urban traffic speed prediction with deep learning on graphs
Traffic speed prediction is among the foundations of advanced traffic management and the
gradual deployment of internet of things sensors is empowering data-driven approaches for …
gradual deployment of internet of things sensors is empowering data-driven approaches for …
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 Xing - 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 …
the expressway. Real-time and accurate holiday traffic flow forecasts can assist the traffic …
Traffic flow prediction method based on bidirectional linear recurrent neural network
R Xu, Z Shen - 2021 - researchsquare.com
In order to improve the rationality and effectiveness of intelligent traffic control and
management on urban roads, a bidirectional linear recurrent neural network-based traffic …
management on urban roads, a bidirectional linear recurrent neural network-based traffic …
[PDF][PDF] Urban Traffic Flow Estimation System Based on Gated Recurrent Unit Deep Learning Methodology for Internet of Vehicles
Congestion in the world's traffic systems is a major issue that has far-reaching
repercussions, including wasted time and money due to longer commutes and more …
repercussions, including wasted time and money due to longer commutes and more …