Results 31 to 40 of about 211,137 (291)
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
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Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction
, 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 +3 more
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Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
, 2018 Timely accurate traffic forecast is crucial for urban traffic control and guidance. Due to the high nonlinearity and complexity of traffic flow, traditional methods cannot satisfy the requirements of mid-and-long term prediction tasks and often neglect ...
Yin, Haoteng, Yu, Bing, Zhu, Zhanxing
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Prediction feedback in intelligent traffic systems
, 2009 The optimal information feedback has a significant effect on many socioeconomic systems like stock market and traffic systems aiming to make full use of resources. In this paper, we studied dynamics of traffic flow with real-time information provided and
Arnott +26 more
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Analysis of Large-Scale Traffic Dynamics in an Urban Transportation Network Using Non-Negative Tensor Factorization [PDF]
, 2016 International audienceIn this paper, we present our work on clustering and prediction of temporal evolution of global congestion configurations in a large-scale urban transportation network.
Han, Yufei, Moutarde, Fabien
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A two-dimensional data-driven model for traffic flow on highways
, 2017 Based on experimental traffic data obtained from German and US highways, we propose a novel two-dimensional first-order macroscopic traffic flow model. The goal is to reproduce a detailed description of traffic dynamics for the real road geometry. In our
Fazekas, Adrian +2 more
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Self-Organizing Traffic Flow Prediction with an Optimized Deep Belief Network for Internet of Vehicles [PDF]
, 2018 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.
Anisi, MH +4 more
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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 +5 more
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Applied Sciences, 2022 Accurate short-term traffic flow prediction is a prerequisite for achieving an intelligent transportation system to proactively alleviate traffic congestion.
Dayi Qu +3 more
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A MapReduce-based nearest neighbor approach for big-data-driven traffic flow prediction
, 2016 In big-data-driven traffic flow prediction systems, the robustness of prediction performance depends on accuracy and timeliness. This paper presents a new MapReduce-based nearest neighbor (NN) approach for traffic flow prediction using correlation ...
Li, Huaqing +4 more
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