Results 21 to 30 of about 15,665 (160)
IET Intelligent Transport Systems, 2022 The interpretation of driver behaviour decisions is an essential part of driver behaviour research. Unlike previous studies that use driver's vision indicators or behaviour indicators as the basis for behaviour decision‐making models, this paper proposes
Yi Li, Bo Yu, Yuren Chen, Zhihua Hu
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Routing, path computation and traffic engineering in future Internet
Journal of Communications and Networks, 2007 The current Internet architecture with integrated routing and forwarding planes has served the community well for the past three decades. The significant growth in Internet traffic and the need for support of very diverse sources has spurned research interest in new architectures.
Jabbari, B +3 more
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In-Network Flow Classification With Knowledge Distillation
IEEE Access, 2021 Recent research has incorporated machine learning with software-defined networking to support intelligent traffic engineering. However, most frameworks only enable machine learning in remote controllers, which introduce significant signaling overhead and
Kate Ching-Ju Lin, Chen-Yang Li
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A Comprehensive Review of Reverse Logistics in the Automotive Industry
IEEE Access, 2023 Reverse logistics (RL) of automobiles has received wide attention in recent years with the innovation of resource utilization and the increase of environmental awareness.
Xumei Zhang +4 more
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Chinese Journal of Mechanical Engineering, 2022 In this study, a dynamic model for the bearing rotor system of a high-speed train under variable speed conditions is established. In contrast to previous studies, the contact stress is simplified in the proposed model and the compensation balance ...
Yongqiang Liu +3 more
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A Framework for Robust Traffic Engineering Using Evolutionary Computation
, 2013 In current network infrastructures, several management tasks often require significant human intervention and can be of high complexity, having to consider several inputs to attain efficient configurations. In this perspective, this work presents an optimization framework able to automatically provide network administrators with efficient and robust ...
Vitor Pereira 0001 +4 more
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A deep network with analogous self‐attention for short‐term traffic flow prediction
IET Intelligent Transport Systems, 2021 Short‐term traffic flow prediction plays a crucial role in research and application of intelligent transportation system. Neural network algorithm can use the big data for training and has more advantages over other prediction models in traffic features ...
Zhao Zhang, Xiaohong Jiao
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Harvested reservoir computing from road traffic dynamics. [PDF]
Sci RepFukuzaki R, Noguchi T, Ando H.
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High‐performance traffic speed forecasting based on spatiotemporal clustering of road segments
IET Intelligent Transport Systems, 2021 Traffic speed prediction is an indispensable element of intelligent transportation systems. Numerous studies have devoted to high‐precision prediction models. However, most existing methods implement the link‐wise or network‐wide input.
Zhengchao Zhang +4 more
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IET Intelligent Transport Systems, 2021 Accurately predicting railway passenger demand is conducive for managers to quickly adjust strategies. It is time‐consuming and expensive to collect large‐scale traffic data.
Fenling Feng +4 more
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