Results 21 to 30 of about 154,707 (286)

Short-Term Traffic Flow Prediction Based on VMD and IDBO-LSTM

IEEE Access, 2023
To improve the accuracy of short term traffic flow prediction and to solve the problems of nonlinearity of short term traffic flow, more noise in the data, and more difficult to determine the parametes of long short term memory networks, a combined ...
Ke Zhao, Dudu Guo, Miao Sun, Chenao Zhao, Hongbo Shuai   +4 more
doaj   +1 more source

T-LSTM: A Long Short-Term Memory Neural Network Enhanced by Temporal Information for Traffic Flow Prediction

IEEE Access, 2019
Short-term traffic flow prediction is one of the most important issues in the field of intelligent transportation systems. It plays an important role in traffic information service and traffic guidance.
Luntian Mou, Pengfei Zhao, Haitao Xie, Yanyan Chen   +3 more
doaj   +1 more source

Short-Term Traffic Flow Prediction Based on a K-Nearest Neighbor and Bidirectional Long Short-Term Memory Model

Applied Sciences, 2023
In the previous research on traffic flow prediction models, most of the models mainly studied the time series of traffic flow, and the spatial correlation of traffic flow was not fully considered.
Weiqing Zhuang, Yongbo Cao
doaj   +1 more source

Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow

Journal of Advanced Transportation, 2022
By predicting and informing the future of traffic through intelligent transportation systems, there is more readiness to avoid traffic congestion. In this study, an ensemble learning process is proposed to predict the hourly traffic flow.
Arash Rasaizadi, Seyedehsan Seyedabrishami   +1 more
doaj   +1 more source

A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model

Complexity, 2020
Short-term traffic flow has the characteristics of complex, changeable, strong timeliness, and so on. So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements.
Jingmei Zhou, Hui Chang, Xin Cheng, Xiangmo Zhao   +3 more
doaj   +1 more source

A Hybrid Short-Term Traffic Flow Multistep Prediction Method Based on Variational Mode Decomposition and Long Short-Term Memory Model

Discrete Dynamics in Nature and Society, 2021
Timely and accurate traffic prediction information is essential for advanced traffic management system (ATMS) and advanced traveler information system (ATIS).
Qichun Bing, Fuxin Shen, Xiufeng Chen, Weijian Zhang, Yanran Hu, Dayi Qu   +5 more
doaj   +1 more source

A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction

IEEE Access, 2021
An accurate and reliable traffic flow prediction is of great significance, especially the long-term traffic flow prediction e.g., 24 hours, which can help the traffic decision-makers formulate the future traffic management strategy.
Yiqun Li, Songjian Chai, Zhengwei Ma, Guibin Wang   +3 more
doaj   +1 more source

Short-Term Traffic Flow Prediction Methods: A Survey

Journal of Physics: Conference Series, 2020
Abstract As a major part of a smart transport system, the vehicle management system has become an effective means for traffic management departments to control urban road traffic with the advent of smart transportation technology. The short-term traffic flow forecasting provides drivers with the best route as a core engineering of the ...
openaire   +1 more source

Short‐term traffic flow prediction approach incorporating vehicle functions from RFID‐ELP data for urban road sections

IET Intelligent Transport Systems, 2023
Short‐term traffic flow prediction is particularly important for urban traffic control and congestion management. To improve the accuracy of traffic flow prediction, a new traffic flow prediction approach is proposed from the perspective of vehicle ...
Shuai Huang, Dihua Sun, Min Zhao, Jin Chen, Rui Chen   +4 more
doaj   +1 more source

Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion

Complexity, 2021
Short-term traffic flow prediction is an effective means for intelligent transportation system (ITS) to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making ...
Yue Hou, Zhiyuan Deng, Hanke Cui
doaj   +1 more source