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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
doaj   +2 more sources

Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction [PDF]

2017 International Joint Conference on Neural Networks (IJCNN), 2017
Tracking congestion throughout the network road is a critical component of Intelligent transportation network management systems. Understanding how the traffic flows and short-term prediction of congestion occurrence due to rush-hour or incidents can be ...
Elmasri, Ramez, Fouladgar, Mohammadhani, Ghaderi, Amir, Parchami, Mostafa   +3 more
core   +2 more sources

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
doaj   +2 more sources

An improved transformer based traffic flow prediction model. [PDF]

Sci Rep
Traffic flow prediction is a key challenge in intelligent transportation, and the ability to accurately forecast future traffic flow directly affects the efficiency of urban transportation systems. However, existing deep learning-based prediction models suffer from the following issues: First, CNN- or RNN-based models are limited by their architecture ...
Liu S, Wang X.
europepmc   +4 more sources

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
doaj   +1 more source

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

Urban regional function guided traffic flow prediction

Information Sciences, 2023
The prediction of traffic flow is a challenging yet crucial problem in spatial-temporal analysis, which has recently gained increasing interest. In addition to spatial-temporal correlations, the functionality of urban areas also plays a crucial role in traffic flow prediction. However, the exploration of regional functional attributes mainly focuses on
Kuo Wang, LingBo Liu, Yang Liu, GuanBin Li, Fan Zhou, Liang Lin   +5 more
openaire   +2 more sources

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
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

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