ANALYSIS OF PEDESTRIAN BEHAVIOR AT CROSSWALKS AND EVALUATION OF FUNCTIONING PEDESTRIAN CROSSINGS [PDF]
Transport Problems, 2021 Every year, on Polish roads, many deaths occur. In the best case scenario, only the vehicle is damaged. The number of road accidents is extremely high.
Piotr GORZELAŃCZYK, Jakub BAZELA
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PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction [PDF]
AAAI Conference on Artificial Intelligence, 2023 As a core technology of Intelligent Transportation System, traffic flow prediction has a wide range of applications. The fundamental challenge in traffic flow prediction is to effectively model the complex spatial-temporal dependencies in traffic data ...
Jiawei Jiang +3 more
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ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification [PDF]
The Web Conference, 2022 Encrypted traffic classification requires discriminative and robust traffic representation captured from content-invisible and imbalanced traffic data for accurate classification, which is challenging but indispensable to achieve network security and ...
Xinjie Lin +5 more
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Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting [PDF]
Knowledge Discovery and Data Mining, 2021 Spatial-temporal forecasting has attracted tremendous attention in a wide range of applications, and traffic flow prediction is a canonical and typical example.
Zheng Fang +3 more
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Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting [PDF]
International Joint Conference on Artificial Intelligence, 2017 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 ...
Ting Yu, Haoteng Yin, Zhanxing Zhu
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Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution [PDF]
ACM Transactions on Knowledge Discovery from Data, 2021 Traffic prediction is the cornerstone of intelligent transportation system. Accurate traffic forecasting is essential for the applications of smart cities, i.e., intelligent traffic management and urban planning. Although various methods are proposed for
Fuxian Li +5 more
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T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction [PDF]
IEEE transactions on intelligent transportation systems (Print), 2018 Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic control. However, traffic forecasting has always been considered
Ling Zhao +7 more
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Congested traffic states in empirical observations and microscopic simulations [PDF]
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 2000 We present data from several German freeways showing different kinds of congested traffic forming near road inhomogeneities, specifically lane closings, intersections, or uphill gradients. The states are localized or extended, homogeneous or oscillating.
M. Treiber, Ansgar Hennecke, D. Helbing
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Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting [PDF]
Proceedings of the VLDB Endowment, 2022 We all depend on mobility, and vehicular transportation affects the daily lives of most of us. Thus, the ability to forecast the state of traffic in a road network is an important functionality and a challenging task.
Zezhi Shao +6 more
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Interferon Receptor Trafficking and Signaling: Journey to the Cross Roads
Frontiers in Immunology, 2021 Like most plasma membrane proteins, type I interferon (IFN) receptor (IFNAR) traffics from the outer surface to the inner compartments of the cell. Long considered as a passive means to simply control subunits availability at the plasma membrane, an ...
Natacha Zanin +9 more
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