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Research on traffic state prediction method based on traffic flow prediction under multi-time granularity [PDF]

Scientific Reports
Accurate traffic state prediction is of great significance to effective traffic planning and management. The different characteristics of different sections and time-varying traffic patterns pose a challenge to the accurate prediction of traffic ...
Yue Chen, Jian Lu
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A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning [PDF]

Scientific Reports
The emergence of Deep Learning provides an opportunity for traffic flow prediction. However, uncertainty and volatility exhibited by nonlinearity and instability of traffic flow pose challenges to Deep Learning models.
Chuanxiang Ren, Fangfang Fu, Changchang Yin, Li Lu, Lin Cheng   +4 more
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An efficient and intelligent traffic flow prediction method based on LSTM and variational modal decomposition

Measurement: Sensors, 2023
Traffic flow prediction is a very important research field in intelligent transportation system. The traditional prediction methods have a very wide application in traffic flow prediction.
Jingyi Lu
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A survey on traffic flow prediction and classification

Intelligent Systems with Applications, 2023
As cities continue to grow and the number of vehicles on the road increases, traffic congestion and pollution have become major issues. Fortunately, significant efforts have been made in recent decades to alleviate these problems through research and the development of Intelligent Transportation Systems (ITS). Governments are now utilizing advanced ITS
Bernardo Gomes, José Coelho 0002, Helena Aidos   +2 more
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GCN-GAN: Integrating Graph Convolutional Network and Generative Adversarial Network for Traffic Flow Prediction

IEEE Access, 2022
As a necessary component in intelligent transportation systems (ITS), traffic flow-based prediction can accurately estimate the traffic flow in a certain period and area in the future.
Hongling Zheng, Xiang Li, Yongfeng Li, Ziqin Yan, Tinghong Li   +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

AGCN-T: A Traffic Flow Prediction Model for Spatial-Temporal Network Dynamics

Journal of Advanced Transportation, 2022
Traffic prediction is the key for Intelligent Transport Systems (ITS) to achieve traffic control and traffic guidance, and the key challenge is that traffic flow has complex spatial-temporal dependence and nonlinear dynamics.
Jian Feng, Lang Yu, Rui Ma
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Short-term Traffic Flow Prediction Method in Bayesian Networks Based on Quantile Regression

Promet (Zagreb), 2020
With the popularization of intelligent transportation system and Internet of vehicles, the traffic flow data on the urban road network can be more easily obtained in large quantities. This provides data support for shortterm traffic flow prediction based
Jing Luo
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Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting

Journal of Mathematics, 2023
Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban road traffic ...
Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei   +4 more
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Hybrid Deep-learning Model for Short-term Metro Passenger Flow Prediction [PDF]

Jisuanji gongcheng, 2022
Accurate prediction of traffic passenger flow is an essential part of an Intelligent Transportation System (ITS), which helps manage traffic and plan the best travel routes.Presently, the short-term prediction of urban traffic passenger flow mainly ...
PENG Tongxin, HAN Yong, WANG Cheng, ZHANG Zhihao
doaj   +1 more source