Discrete adjoint gradient computation for multiclass traffic flow models on road networks
This paper applies a discrete adjoint gradient computation method for a multi-class traffic flow model on road networks. Vehicle classes are characterized by their specific velocity functions, which depend on the total traffic density, resulting in a coupled hyperbolic system of conservation laws.Paola Goatin +2 more
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The associative multifractal process: a new model for computer network traffic flows
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2021Ginno Millan +3 more
openaire +1 more source
Quantitative Performance Comparison of Various Traffic Shapers in Time-Sensitive Networking
IEEE Transactions on Network and Service Management, 2022Luxi Zhao +2 more
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Traffic accident detection and condition analysis based on social networking data
Accident Analysis and Prevention, 2021Farman Ali +2 more
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DeepGuard: Efficient Anomaly Detection in SDN With Fine-Grained Traffic Flow Monitoring
IEEE Transactions on Network and Service Management, 2020Trung V Phan +2 more
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A Survey on the Contributions of Software-Defined Networking to Traffic Engineering
IEEE Communications Surveys and Tutorials, 2017Alaitz Mendiola +2 more
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A High-Speed, Scalable, and Programmable Traffic Manager Architecture for Flow-Based Networking
IEEE Access, 2019Imad Benacer, Yvon Savaria
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Computational analysis of the influence of internet traffic flows in IP networks
AIP Conference ProceedingsYa. A. Sokolov +6 more
openaire +1 more source
A New Traffic Prediction Algorithm to Software Defined Networking
Mobile Networks and Applications, 2019Dingde Jiang, Yong Zhao
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Software-Defined-Networking-Enabled Traffic Anomaly Detection and Mitigation
IEEE Internet of Things Journal, 2017Daojing He, Sammy Chan, Mohsen Guizani
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