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IEEE Transactions on Intelligent Transportation Systems, 2022
When dealing with traffic big data under the background of Internet of Things (IoT), traffic control under the single-machine computing environment is difficult to adapt to the massive and rapid analysis and decision-making. To tackle this problem, we propose a parallel computing approach of traffic network flow control based on the mechanism of model ...
Yongnan Zhang +3 more
openaire +1 more source
When dealing with traffic big data under the background of Internet of Things (IoT), traffic control under the single-machine computing environment is difficult to adapt to the massive and rapid analysis and decision-making. To tackle this problem, we propose a parallel computing approach of traffic network flow control based on the mechanism of model ...
Yongnan Zhang +3 more
openaire +1 more source
2024 9th International Conference on Business and Industrial Research (ICBIR)Tio Adistiyawan +4 more
openaire +2 more sources
Parallel computing method of deep belief networks and its application to traffic flow prediction
Knowledge-Based Systems, 2019Abstract Deep belief networks (DBNs) with outstanding advantages of learning input data features have attained particular attention and are applied widely in image processing, speech recognition, natural language interpretation, disease diagnosis, among others.
Lu Zhao +3 more
openaire +1 more source
2006 IEEE Intelligent Transportation Systems Conference, 2006
We propose VGrid: an ad hoc networking and computing grid formed by leveraging inter-vehicle wireless communications. In addition to exchanging data between vehicles, VGrid actively uses pertinent data to perform computations for solving traffic-related problems.
A. Chen +4 more
openaire +1 more source
We propose VGrid: an ad hoc networking and computing grid formed by leveraging inter-vehicle wireless communications. In addition to exchanging data between vehicles, VGrid actively uses pertinent data to perform computations for solving traffic-related problems.
A. Chen +4 more
openaire +1 more source
Journal of Network and Computer Applications, 2018
Abstract Adaptive traffic signal control can automatically adjust signal cycles, offsets and green ratios with the fluctuations of traffic flow to reduce the delay of vehicle fleets. At present, cloud computing has provided a technically feasible realization measure for the real-time optimization processing of adaptive traffic signal control with ...
Yongnan Zhang, Yonghua Zhou
openaire +1 more source
Abstract Adaptive traffic signal control can automatically adjust signal cycles, offsets and green ratios with the fluctuations of traffic flow to reduce the delay of vehicle fleets. At present, cloud computing has provided a technically feasible realization measure for the real-time optimization processing of adaptive traffic signal control with ...
Yongnan Zhang, Yonghua Zhou
openaire +1 more source
Antibiotic resistance in the environment
Nature Reviews Microbiology, 2021D G Joakim Larsson, Carl-Fredrik Flach
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Transforming heat transfer with thermal metamaterials and devices
Nature Reviews Materials, 2021Ying Li, Wei Li, Tiancheng Han
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Assessment methods and performance metrics for redox flow batteries
Nature Energy, 2021Yang Shi, Yi-Chun Lu
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Toward Next Generation Lateral Flow Assays: Integration of Nanomaterials
Chemical Reviews, 2022Ruslán Álvarez-Diduk +2 more
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