Vita: A Crowdsensing-Oriented Mobile Cyber-Physical System

Hu, Xiping; Chu, Terry H. S.; Chan, Henry C. B.; Leung, Victor C. M.

doi:10.1109/tetc.2013.2273359

Cited by 155 publications

(82 citation statements)

References 37 publications

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“…There is great potential for development of crowdsourcing for mobile networks and IoT [1,2] in transportation. The traditional mode of transport has encountered more and more challenges, attracted worldwide attention.…”

Section: Introductionmentioning

confidence: 99%

A Long Short-term Traffic Flow Prediction Method Optimized by Cluster Computing

Liu¹,

Cheng²,

Liu³

et al. 2018

Preprint

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Accurate and fast traffic flow forecasting is vital in intelligent transportation system because many of the advanced features in intelligent transportation systems are based on it. However, existing methods have poor performance regarding accuracy and computational efficiency in long-term traffic flow forecasting under big data. Hence, we propose an improved Long short-term memory (LSTM) Network and its cluster computing implementation in this paper to address the above challenge. We propose a singular point probability LSTM (SDLSTM) algorithm. The method discards the units of the network according to the singular point probability during the training process and amends the SDLSTM by Autoregressive Integrated Moving Average Model (ARIMA) to achieve the accurate prediction of 24-hour traffic flow data. Furthermore, the paper designs a scheme for implementing this method through cluster computing to shorten the calculation time and improve the system's operating speed. Theoretical analysis and experimental results show that SDLSTM gains a higher accuracy rate and better stability in the long-term traffic flow forecasting compared with previous methods.

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Section: Introductionmentioning

confidence: 99%

A Long Short-term Traffic Flow Prediction Method Optimized by Cluster Computing

Liu¹,

Cheng²,

Liu³

et al. 2018

Preprint

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“…Vita is a mobile cyber-physical system, which supports efficient development, deployment and management of multiple crowd sensing applications and tasks [15]. It is a flexible architecture, integrating service-oriented design principles with a resource optimization mechanism in order to allow for intelligent task allocation as well as for dynamic collaboration of services between mobile devices and cloud computing platform during run-time.…”

Section: Vitamentioning

confidence: 99%

Mobile crowd sensing architectural frameworks: A comprehensive survey

Louta

Mpanti

Karetsos

et al. 2016

2016 7th International Conference on Information, Intelligence, Systems &Amp; Applications (IISA)

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Abstract-Mobile Crowd Sensing has emerged as a new sensing paradigm, efficiently exploiting human intelligence and mobility in conjunction with advanced capabilities and proliferation of mobile devices. In order for MCS applications to reach their full potentials, a number of research challenges should be sufficiently addressed. The aim of this paper is to survey representative mobile crowd sensing applications and frameworks proposed in related research literature, analyze their distinct features and discuss on their relative merits and weaknesses, highlighting also potential solutions, in order to take a step closer to the definition of a unified MCS architectural framework.

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“…In the case of inter-system mobility, works used to propose application-specific mobile frameworks (based on SOA, for example), adapted to the particular mobility requirements of their scenario [16,17]. Moreover, some authors incorporate GPS transponders into devices, in order to provide geographical data to a computational core.…”

Section: State Of the Artmentioning

confidence: 99%

Predictive algorithms for mobility and device lifecycle management in Cyber-Physical Systems

Bordel

Rivera

Sánchez-Picot

2016

J Wireless Com Network

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Cyber-Physical Systems (CPS) are often composed of a great number of mobile, wireless networked devices. In order to guarantee the system performing, management policies focused on becoming transparent to high-level applications, the changes in the hardware platform have to be implemented. However, traditional reactive methodologies and basic proposed predictive solutions are not valid either due to the extremely dynamical behavior of CPS or because the high number of involved devices prevents fulfill the timing requirements. Therefore, in this paper, we present an advance predictive solution for managing the mobility and device lifecycle, being able to meet all requirements of CPS. The solution is based on an infinite loop, which calculates, in each iteration, a sequence of future system states using a CPS simulator and interpolation algorithms. Furthermore, an experimental validation is provided in order to determine the performing of the proposed solution.

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Vita: A Crowdsensing-Oriented Mobile Cyber-Physical System

Cited by 155 publications

References 37 publications

A Long Short-term Traffic Flow Prediction Method Optimized by Cluster Computing

A Long Short-term Traffic Flow Prediction Method Optimized by Cluster Computing

Mobile crowd sensing architectural frameworks: A comprehensive survey

Predictive algorithms for mobility and device lifecycle management in Cyber-Physical Systems

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