Results 21 to 30 of about 11,119,065 (317)

Short-Term Traffic Flow Prediction of Expressway: A Hybrid Method Based on Singular Spectrum Analysis Decomposition

Advances in Civil Engineering, 2021
Real-time expressway traffic flow prediction is always an important research field of intelligent transportation, which is conducive to inducing and managing traffic flow in case of congestion.
Chunyan Shuai, Zhengyang Pan, Lun Gao, HongWu Zuo   +3 more
doaj   +2 more sources

Short-Term Prediction of Traffic Flow Based on the Comprehensive Cloud Model

Mathematics
Short-term traffic flow prediction plays a crucial role in transportation systems by describing the time evolution of traffic flow over short periods, such as seconds, minutes, or hours. It helps people make informed decisions about their routes to avoid
Jianhua Dong
doaj   +2 more sources

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   +2 more sources

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   +2 more sources

Spatio-Temporal Residual Graph Convolutional Network for Short-Term Traffic Flow Prediction

IEEE Access, 2023
Accurate spatio-temporal traffic flow prediction is a significant research direction in the intelligent transport system. Current prediction methods have limitations in spatio-temporal feature extraction, and the prediction results have poor performance.
Qingyong Zhang, Meifang Tan, Changwu Li, Huiwen Xia, Wanfeng Chang, Minglong Li   +5 more
doaj   +2 more sources

An Effective Self-Attention-Based Hybrid Model for Short-Term Traffic Flow Prediction

Advances in Civil Engineering, 2023
Vehicle exhaust is one of the main sources of carbon emissions. The short-term traffic flow prediction plays an important role in alleviating traffic congestion, optimizing the travel structure, and reducing traffic carbon emissions. The current advanced
Zhihong Li, Xiaoyu Wang, Kairan Yang
doaj   +2 more sources

Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU

IEEE Access, 2019
Accurate short-term traffic forecasts help people choose transportation and travel time. Through the query data, many models for traffic flow prediction have neglected the temporal and spatial correlation of traffic flow, so that the prediction accuracy ...
Guowen Dai, Changxi Ma, Xuecai Xu
doaj   +2 more sources

GRU-LSTM Model Based on the SSA for Short-Term Traffic Flow Prediction [PDF]

Journal of Intelligent and Connected Vehicles
The transportation department relies on accurate traffic forecasting for effective decision-making. However, determining relevant parameters for existing traffic flow prediction models poses challenges. To address this issue, this study proposes a hybrid
Changxi Ma, Xiaoyu Huang, Yong-Peng Zhao, Tao Wang, Bo Du   +4 more
semanticscholar   +2 more sources

A Short-Term Traffic Flow Prediction Method for Airport Group Route Waypoints Based on the Spatiotemporal Features of Traffic Flow

Aerospace
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was ...
Wen Tian, Yi-Ning Zhang, Ying Zhang, Hai-Yan Chen, Weidong Liu   +4 more
semanticscholar   +2 more sources

Short-Term Traffic Flow Prediction: Techniques and Methods

Applied and Computational Engineering
With the development of the economy, the expansion of the city scale, the increase in the population of urban residents and the increase in the per capita car ownership, the traffic congestion problem has an increasing impact on urban operation ...
Yitong Ji
semanticscholar   +2 more sources