Community-based dandelion algorithm-enabled feature selection and broad learning system for traffic flow prediction

X Liu, X Qin, MC Zhou, H Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In an intelligent transportation system, accurate traffic flow prediction can provide significant
help for travel planning. Even though some methods are proposed to do so, they focus on …

Short‐term traffic flow prediction based on whale optimization algorithm optimized BiLSTM_Attention

X Xu, C Liu, Y Zhao, X Lv - Concurrency and Computation …, 2022 - Wiley Online Library
With the growths in population and vehicles, traffic flow becomes more complex and
uncertain disruptions occur more often. Accurate prediction of urban traffic flow is important …

Deep and embedded learning approach for traffic flow prediction in urban informatics

Z Zheng, Y Yang, J Liu, HN Dai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Traffic flow prediction has received extensive attention recently, since it is a key step to
prevent and mitigate traffic congestion in urban areas. However, most previous studies on …

Acting as a decision maker: Traffic-condition-aware ensemble learning for traffic flow prediction

Y Chen, H Chen, P Ye, Y Lv… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Accurate traffic prediction under various conditions is an important but challenging task. Due
to the complicated non-stationary temporal dynamics in traffic flow time series and spatial …

[HTML][HTML] Self-organizing traffic flow prediction with an optimized deep belief network for internet of vehicles

S Goudarzi, MN Kama, MH Anisi, SA Soleymani… - Sensors, 2018 - mdpi.com
To assist in the broadcasting of time-critical traffic information in an Internet of Vehicles (IoV)
and vehicular sensor networks (VSN), fast network connectivity is needed. Accurate traffic …

A novel time efficient machine learning-based traffic flow prediction method for large scale road network

Z Wang, P Sun, A Boukerche - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
How to effectively improve the traffic efficiency of the road network plays a crucial role in
ensuring the regular operation of modern society. This is also a key concern in the field of …

[HTML][HTML] A multifeature fusion short-term traffic flow prediction model based on deep learnings

C Chai, C Ren, C Yin, H Xu, Q Meng, J Teng… - Journal of Advanced …, 2022 - hindawi.com
Short-term traffic flow prediction is an important component of intelligent transportation
systems, which can support traffic trip planning and traffic management. Although existing …

[HTML][HTML] FASTNN: a deep learning approach for traffic flow prediction considering spatiotemporal features

Q Zhou, N Chen, S Lin - Sensors, 2022 - mdpi.com
Traffic flow forecasting is a critical input to intelligent transportation systems. Accurate traffic
flow forecasting can provide an effective reference for implementing traffic management …

Metaheuristic enabled deep convolutional neural network for traffic flow prediction: Impact of improved lion algorithm

M Patel, C Valderrama, A Yadav - Journal of Intelligent …, 2022 - Taylor & Francis
Traffic flow prediction is a basic aspect to be considered in transportation management and
modeling. Attaining precise information on near and current traffic flows has an extensive …

Optimized graph convolution recurrent neural network for traffic prediction

K Guo, Y Hu, Z Qian, H Liu, K Zhang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Traffic prediction is a core problem in the intelligent transportation system and has broad
applications in the transportation management and planning, and the main challenge of this …