Enabling crowdsensing-based road condition monitoring service by intermediary

Laubis, Kevin; Konstantinov, Marcel; Šimko, Viliam; Gröschel, Alexander; Weinhardt, Christof

doi:10.1007/s12525-018-0292-7

Cited by 15 publications

(10 citation statements)

References 33 publications

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“…GPS that are used for asset management are typically embedded on other platforms such as remote sensing satellites or vehicles providing the position of any occurrence that concerns any asset. GPS that is embedded in a sensor on a moving vehicle can be used to collect information on road defects while simultaneously providing the location of the defect for further assessment [18]. This could simplify the work of local authorities to locate and rectify the defects on road assets to avoid any risk happening to road users.…”

Section: Data Collectionmentioning

confidence: 99%

“…Laser scanning or LiDAR can be used to meet these requirements as it depends on repeated pulses of light to obtain any information about a surface which is suitable to obtain the profile of any object. The uses of LiDAR for managing assets are shown in research by [18], [19]. Laser scanning for road condition monitoring can be used to obtain the road profile to study the roughness of the roads [18].…”

Section: Data Collectionmentioning

confidence: 99%

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A review on the GIS usage in spatio-temporal risk assessment in asset management

Syafiq,

Azri

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Risk assessment for asset management is a process to analyse the potential risk that could affect the efficiency of operating assets. An effective risk assessment strategy depends on high-quality data and effective data analysis. To do so, risk assessment should take into consideration the spatial and temporal aspects of risks of physical assets in asset management for a data-driven decision-making. Failure to incorporate the spatial and temporal aspects in risk, when the risk possess spatio-temporal correlation, could lead to a defective estimation of assets risks. GIS can be used to analyse multidimensional information which includes 3D GIS, and spatio-temporal data (2D+t and 3D+t). Due to its superiority in handling multidimensional data, GIS is often a preferable tool to collect, manage, manipulate, and visualize spatio-temporal data to allow an accurate and informed analysis. The aim of this study is to uncover the use of GIS for risk assessment in asset management when spatial and temporal data are concerned. This study conduct a thorough review of previous research to look into the current development of asset management that utilizes a spatio-temporal approach for data collection, analysis, and 3D visualization for risk assessment. At the end of this study, we found that physical assets are affected by risk that possess spatio-temporal correlation. Several GIS techniques for data collection, analysis and visualization are found to provide a more effective analysis for assessing spatio-temporal risks. This paper concludes by providing a workflow that can be used by asset managers to assess risk spatio-temporally based on the findings of this study.

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Section: Data Collectionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

A review on the GIS usage in spatio-temporal risk assessment in asset management

Syafiq,

Azri

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Finally, the example for an intermediary business model based on crowd properties is described by Kevin Laubis, Marcel Konstantinov, Viliam Simko, Alexander Gröschel and Christof Weinhardt. They present a crowdsensing-based road condition monitoring service that complements existing professional services from specialized engineering companies and enables an efficient road monitoring on a broader scale (Laubis et al 2019). The service is based on sensors that are widespread in vehicles as well as in smartphones.…”

Section: Special Issue Papersmentioning

confidence: 99%

Smart services: The move to customer orientation

et al. 2019

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Dear readers, Today, the attribute Bsmart^is widely used. Among the examples are smart infrastructures, smart systems, smart cities, smart products or even the smart world (Liu et al. 2019). In a preface to a special issue published in Electronic Markets on smart tourism, the guest editors mentioned that BBSmart^has become a new buzzword to describe technological, economic and social developments fueled by technologies that rely on sensors, big data, open data, new ways of connectivity and exchange of information (e.g., Internet of Things, RFID, and NFC) as well as abilities to infer and reason.^(Gretzel et al. 2015, p. 179). Since then the Bbuzz^has spread further and as with many buzzwords, their understanding is heterogeneous and differs depending on the background of the authors. For example, many researchers in the domain of smart cities adopt a technological perspective and analyze sensors, interfaces or platform architectures that enable use cases in an urban environment (e.g. Puiu et al. 2016). A view on smart products and the associated topics of cyber-physical systems reveals a more or less similar picture. On the other side, researchers from the information systems discipline bring attention to the increasing capabilities of computers, and how they are increasingly doing things that humans could once do exclusively. In their definition, smart machines are becoming like humans by recognizing voices, processing natural language, learning, and interacting with the physical world through their vision, smell, touch, and other senses, mobility and motor control with advanced artificial intelligence, intelligence augmentation and data (Demirkan et al. 2016; Matzner et al. 2018). They profoundly impat the current organization of business processes as illustrated in muliple examples by Porter and Heppelmann (2015). The present special issue on smart services follows this direction and that of the earlier on smart tourism by considering the interplay of technological, economic and social dimensions.

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“…Fase peningkatan berkelanjutan layanan cerdas, mempelajari keberhasilan dan kegagalan ma sa lalu kemudian menyesuaikan layanan secara berkelanjutan, menggunakan data dan informasi terkait, dan melibatkan pengguna. Penelitian tentang sistem layanan cerdas dari sudut pandang lain dikemukakan oleh Laubis,dkk yang menyatakannya sebagai sistem yang didesain untuk manajemen mandiri (selfmanagement) dan konfigurasi ulang mandiri (self-reconfiguration) untuk memastikan penyediaan layanan yang memenuhi kebutuhan pengguna [8].…”

Section: Konseptualisasi Dari Produk Cerdas Dan Lay Anan Cer Dasunclassified

A Survey on Product of Smart Service System

Azmy

2019

JSC

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Smart service is a new value that results from a collaboration between service providers and service users. Company as a service provider transformed not only provide a physical product, but also provide services. We conducted this research to integrate knowledge between smart products and smart service systems. The conceptualization of smart products is done by conducting a literature study of previous research. It is used to obtain the characteristics of smart products on smart service systems. This research also presents various topics and research focus in the context of products on smart service systems by including several smart service system implementations and illustration of smart product.

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Enabling crowdsensing-based road condition monitoring service by intermediary

Cited by 15 publications

References 33 publications

A review on the GIS usage in spatio-temporal risk assessment in asset management

A review on the GIS usage in spatio-temporal risk assessment in asset management

Smart services: The move to customer orientation

A Survey on Product of Smart Service System

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