Formalizing computational intensity of big traffic data understanding and analysis for parallel computing

Xia, Yingjie; Chen, Jinlong; Wang, Chunhui

doi:10.1016/j.neucom.2014.10.104

Cited by 12 publications

(3 citation statements)

References 37 publications

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“…The integration of different and various monitoring systems (that produce numerical, graphical, signal-based, or imagebased information with different sampling and localization features) requires novel support systems for data acquisition, management and processing. 35 Traditional PMS solutions are not adaptable to these datasets and dataflows. Problems also relate to the off-line systems for the management of urban roads, which determine high computational and operational costs for data management.…”

Section: Analysis Of the Benefits Offered By System Integration And R...mentioning

confidence: 99%

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

Praticò

Bosurgi

Bruneo

et al. 2022

Structural Contr & Hlth

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Especially in urban contexts, the detection of damages in road infrastructures is crucial for their management and efficiency. This entails complex measurement chains. Several solutions were already developed and applied (e.g., high speed monitoring systems or sensor-based systems), but the emerging smart city and smart road paradigms call for innovations in these fields. A possible solution could be the development of smart, non-intrusive, and sustainable sensing systems able to perform continuous monitoring, allowing automatic and timely generation of alarms and proper maintenance strategies from Road Management Systems (RMSs). Consequently, this study aims to demonstrate the feasibility of integrating miniaturized sensing systems with high-speed monitoring systems, to obtain innovative RMSs. In this regard, a specific webbased platform, the core of a Smart RMS, properly defined to acquire, correlate, and exploit data from several sources was developed. To this end, highperformance monitoring systems, an innovative sensing system (i.e., based on miniaturized devices and on feature-and signature-based methods), and Micro-electromechanical systems (i.e., smartphones accelerometers) were used. A new set of indicators has been set up and partly validated in the pursuit of setting out a new paradigm where Pavement Management Systems are supposed to become urban-oriented and less expensive. Results show that combining traditional and innovative solutions allows providing a comprehensive overview of both the structural condition and the performance of road infrastructures. This information could be used to exponentially improve the efficiency of current RMSs in forecasting the occurrence of damages and in scheduling more effective and sustainable management interventions.

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Section: Analysis Of the Benefits Offered By System Integration And R...mentioning

confidence: 99%

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

Praticò

Bosurgi

Bruneo

et al. 2022

Structural Contr & Hlth

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“…Given the characteristics of big data storage platforms in terms of the horizontal scalability of the data storage capacity and handling high-throughput write operations and fast data acquisition based on primary keys, there is an industry-wide consensus that big data storage platforms should be adopted for storing, processing, and applying VLPD in order to solve the storage and application problems [ 16 ]. However, since the key–value databases hosted on big data platforms generally provide only simple data retrieval functions based on row keys, they cannot cope with complex, multi-conditional queries, which poses a huge challenge for VLPD analysis applications that are based on big data platforms [ 17 , 18 ]. How to solve the key technical problem of comprehensive, multi-conditional queries has become a hot research topic for addressing the problem of effective storage and application of VLPD on a big data platform.…”

Section: Introductionmentioning

confidence: 99%

A vehicle license plate data access model based on the jump hash consistency algorithm

Wang,

Cheng,

Chen

et al. 2023

PLoS ONE

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The massive amount of vehicle plate data generated by intelligent transportation systems is widely used in the field of urban transportation information system construction and has a high scientific research and application value. The adoption of big data platforms to properly preserve, process, and exploit these valuable data resources has become a hot research area in recent years. To address the problems of implementing complex multi-conditional comprehensive query functions and flexible data applications in the key–value database storage environment of a big data platform, this paper proposes a data access model based on the jump hash consistency algorithm. Algorithms such as data slice storage and multi-threaded sliding window parallel reading are used to realize evenly distributed storage and fast reading of massive time-series data on clustered data nodes. A comparative analysis of data distribution uniformity and retrieval efficiency shows that the model can effectively avoid generating the cluster hotspot problem, support comprehensive analysis queries with various complex conditions, and maintain high query efficiency by precisely positioning the data storage range and utilizing parallel scan reading.

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“…The paper by Xia et al [18] addressed the problem of big traffic data understanding and analysis in intelligent transportation systems (ITS), which has been an urgent requirement. This requirement leads to the computation-intensive and data-intensive problems in ITS, which can be innovatively resolved by using Cyber-Infrastructure (CI).…”

mentioning

confidence: 99%

Learning for visual semantic understanding in big data

et al. 2015

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Formalizing computational intensity of big traffic data understanding and analysis for parallel computing

Cited by 12 publications

References 37 publications

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

A vehicle license plate data access model based on the jump hash consistency algorithm

Learning for visual semantic understanding in big data

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