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Multi-class dynamic network traffic flow propagation model with physical queues

Yanfeng LI, Jun LI

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 399-407 doi: 10.15302/J-FEM-2017041

Abstract: This paper proposes an improved multi-class dynamic network traffic flow propagation model with a considerationThe vehicles of the same class are assumed to satisfy the first-in-first-out (FIFO) principle on theThis analysis can more realistically capture the traffic flow propagation, such as interactions betweenmulti-class traffic flows, and the dynamic traffic interactions across multiple links.

Keywords： first-in-first-out (FIFO) multi-class traffic physical queues traffic flow modeling

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Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1, Pages 47-54 doi: 10.1007/s11465-012-0307-6

Abstract: Using multi-class least squares support vector machines (LS-SVM), the thermal positioning error of the

Keywords： least squares support vector machine (LS-SVM) feed system thermal error precision machining

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Max-margin basedBayesian classifier Article

Tao-cheng HU,Jin-hui YU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10, Pages 973-981 doi: 10.1631/FITEE.1601078

Abstract: There is a tradeoff between generalization capability and computational overhead in multi-class learningWe propose a generative probabilistic multi-class classifier, considering both the generalization capability

Keywords： Multi-class learning Max-margin learning Online algorithm

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Side-channel attacks and learning-vector quantization Article

Ehsan SAEEDI, Yinan KONG, Md. Selim HOSSAIN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4, Pages 511-518 doi: 10.1631/FITEE.1500460

Abstract: The main characteristics of LVQ as a multi-class classifier are that it has the ability to learn complexExperimental results show the performance of multi-class classification based on LVQ as a powerful and

Keywords： Side-channel attacks Elliptic curve cryptography Multi-class classification Learning vector quantization

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Cui Suping: Low Carbon Design, Preparation and Application of Multi-Class Waste Raw Material Cement (

26 Nov 2021

Keywords：碳中和

A practical multi-lane factor model of bridges based on multi-truck presence considering lane load disparities

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 877-894 doi: 10.1007/s11709-021-0756-2

Abstract: Many bridge design specifications consider multi-lane factors (MLFs) a critical component of the trafficMeasured multi-lane traffic data generally exhibit significant lane disparities in traffic loads overTo address this drawback, a multi-coefficient MLF model was developed based on an improved probabilisticThe model sensitivity analysis demonstrated the significant influence of lane disparity of truck trafficapproach, the experimental site study yielded MLFs comparable with those directly calculated using traffic

Keywords： bridges multi-lane factor traffic load lane load disparity multi-truck presence weigh-in-motion

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Major bridge projects——a multi-disciplinary approach

Klaus H. OSTENFELD, Erik Y. ANDERSEN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4, Pages 479-495 doi: 10.1007/s11709-011-0137-3

Abstract: The overall socioeconomic impact, influence on people migration, traffic, use of primary materials, safety

Keywords： bridges materials climate risk safety environment socioeconomics traffic CO₂ energy life cycle

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Characterizing Flight Delay Profiles with a Tensor Factorization Framework Article

Mingyuan Zhang, Shenwen Chen, Lijun Sun, Wenbo Du, Xianbin Cao

Engineering 2021, Volume 7, Issue 4, Pages 465-472 doi: 10.1016/j.eng.2020.08.024

Abstract:

In air traffic and airport management, experience gained from past operations is crucial in designingTherefore, this paper uses massive spatiotemporal flight data to identify similar traffic and delay patternsWe apply a latent class model and demonstrate the effectiveness of this framework using air traffic dataThe outcomes of this study can help airport operators and air traffic managers better understand airtraffic and delay patterns according to the experience gained from historical scenarios.

Keywords： Air traffic management Flight delay Latent class model Tensor decomposition

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Traffic services for vehicles: the process from receiving raw probe data to space-time diagrams and theresulting traffic service

Markus AUER, Hubert REHBORN, Sven-Eric MOLZAHN, Micha KOLLER

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 490-497 doi: 10.15302/J-FEM-2017008

Abstract: Today, large quantities of vehicle data (FCD: floating car data) are widely used by traffic service providersto create and broadcast traffic states in road networks.After the matching process, space-time-diagrams are created of the probe data showing traffic situationVarious examples illustrate how traffic service quality depends on the number of matched GPS raw dataTraffic reconstruction is followed by a translation into traffic information messages, which can be sent

Keywords： floating car data map matching three phase traffic theory traffic reconstruction traffic service quality

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Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1301-1316 doi: 10.1007/s11709-021-0765-1

Abstract: An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectivenessTraffic data were used to analyze the evacuation traffic patterns.In south-east Florida, evacuation traffic started 4 days before the hurricane’s arrival.hurricane path shifted and eventually landed in south-west Florida, which caused a high level of evacuation trafficOver-evacuation caused Evacuation Traffic Index (ETI) to increase to 200% above normal conditions

Keywords： storm surge modeling traffic evacuation Hurricane Irma

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A survey of instantaneous poles for a class of two-degree-of-freedom spherical mechanisms

Soheil ZARKANDI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4, Pages 344-353 doi: 10.1007/s11465-014-0320-z

Abstract:

This paper is a detailed exploration of instantaneous poles for a class of two-degree-of-freedom (

Keywords： spherical mechanisms instantaneous poles Aronhold-Kennedy theorem great circles pencil of meridian

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Percolation-based health management of complex traffic systems

Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 557-571 doi: 10.1007/s42524-021-0174-0

Abstract: Previous studies proposed numerous approaches to evaluate or improve traffic reliability or efficiencyIn this article, we review existing studies on traffic reliability management and propose a health managementframework covering the entire traffic congestion lifetime, from emergence, evolution to dissipation,Aiming to be “reliable, invulnerable, resilient, potential, and active”, our proposed traffic healthOur proposed framework may shed light on traffic management for megacities and urban agglomerations around

Keywords： traffic health health management critical infrastructure systems science and engineering

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Unified cycle model of a class of internal combustion engines and their optimum performance characteristics

Shiyan ZHENG

Frontiers in Energy 2011, Volume 5, Issue 4, Pages 367-375 doi: 10.1007/s11708-011-0170-x

Abstract: The unified cycle model of a class of internal combustion engines is presented, in which the influenceof the multi-irreversibilities mainly resulting from the adiabatic processes, finite-time processes

Keywords： internal combustion engine irreversibility power output efficiency optimization

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Semantic Consistency and Correctness Verification of Digital Traffic Rules

Lei Wan,Changjun Wang,Daxin Luo,Hang Liu,Sha Ma,Weichao Hu,

Engineering doi: 10.1016/j.eng.2023.04.016

Abstract: The consensus of the automotive industry and traffic management authorities is that autonomous vehiclesmust follow the same traffic laws as human drivers.Using formal or digital methods, natural language traffic rules can be translated into machine languageReasonable and reassuring digital traffic rules can be obtained by utilizing the proposed traffic ruleIn addition, we offer a number of simulation applications that employ digital traffic rules to assess

Keywords： Autonomous driving Traffic rules Digitization Formalization Verification

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Fine-grained P2P traffic classification by simply counting flows

Jie HE,Yue-xiang YANG,Yong QIAO,Wen-ping DENG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5, Pages 391-403 doi: 10.1631/FITEE.1400267

Abstract: Therefore, P2P applications monitoring, in particular, P2P traffic classification, is becoming increasinglyIn this paper, we propose a novel approach for accurate P2P traffic classification at a fine-grainedapproach relies only on counting some special flows that are appearing frequently and steadily in the traffic

Keywords： Traffic classification Peer-to-peer (P2P) Fine-grained Host-based