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2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020
Traffic forecasting is one of important functions in Intelligent transportation systems (ITSs) and is of great significance to user experience and urban traffic control. Edge computing, has been recognized as a promising technique for real-time and accurate traffic flow forecasting.
Xianlu Xu +3 more
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Traffic forecasting is one of important functions in Intelligent transportation systems (ITSs) and is of great significance to user experience and urban traffic control. Edge computing, has been recognized as a promising technique for real-time and accurate traffic flow forecasting.
Xianlu Xu +3 more
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A dependable routing framework for seamless traffic flow over the computer network
2014 International Conference on Reliability Optimization and Information Technology (ICROIT), 2014This paper proposes a QoS routing framework for real-time mission-critical and life critical communication such as tele-engineering and telesurgery. Such communications are real-time and seamless, and demand the hard timeliness guarantees on message delivery lag-time and recovery delays encountered due to the network component failure.
Rajiv Kumar, Vipul Sharma, Sumit Vardhan
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Efficient blocking probability computation of complex traffic flows for network dimensioning
Computers & Operations Research, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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
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A Simple and Fast Algorithm for Traffic Flow Control in High-Speed Computer Networks
2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA), 2018The development of an algorithm for the control of traffic flows that avoids situations of congestion is a hot topic in the computer networks. This paper presents a mathematical model for a general computer network and then discrete control theory is used as a key tool to design the traffic flow control algorithm that avoids congestion in a high-speed ...
Ginno Millan +4 more
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Journal of Mathematical Sciences, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Makarov, A. A., Simonova, G. I.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Makarov, A. A., Simonova, G. I.
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Traffic flow confidentiality security service in OSI computer network architecture
IEEE TENCON'90: 1990 IEEE Region 10 Conference on Computer and Communication Systems. Conference Proceedings, 2002Various issues arising in the placement of traffic flow confidentiality service and encipherment, traffic padding, and routing control security mechanisms in the open system interconnection (OSI) reference model architecture are presented. It is suggested that to provide full traffic flow confidentiality service, a pair of encipherment devices should ...
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2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE), 2019
Using of a generalized network flow model with gains and losses is proposed for solving the problem of optimal network traffic and data processing from sources to the consumers. The problem for finding traffic of minimal cost is reduced solving the linear network flow problem.
Vassil Sgurev +2 more
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Using of a generalized network flow model with gains and losses is proposed for solving the problem of optimal network traffic and data processing from sources to the consumers. The problem for finding traffic of minimal cost is reduced solving the linear network flow problem.
Vassil Sgurev +2 more
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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
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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
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Traffic flow management analysis in computer data networks
2010Today, computer data networks are being used everywhere around us. To increase reliability most of such networks use redundant links, which may not be fully utilized at all times. The reason lies with the routing protocols, which are used to detect network faults, and at all times direct all traffic only across the best path.
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