The Concept of a Mobility Data Cloud: Design, Implementation and Trials

Tcholtchev, Nikolay; Dittwald, Benjamin; Scheel, Thomas; Zilci, Begüm İlke; Schmidt, Danilo; Lämmel, Philipp; Jacobsen, Jurma; Schieferdecker, Ina

doi:10.1109/compsacw.2014.36

Cited by 9 publications

(23 citation statements)

References 8 publications

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“…The services are activities required to achieve business processes, which are independent and encompasses features which add value to prosumers and stakeholder that use them (Barbosa et al 2016). Service provided in smart cities supports current trends and can be provided by enterprises to their clients via applications (Tcholtchev et al 2014;Junior 2019). Besides, service layer involves operations that supports businesses to deploy applications such as energy consumption measurement, optimization suggestions, weather forecasting, etc.…”

Section: Service Layermentioning

confidence: 99%

Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

et al. 2019

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The smart grid achieves bidirectional information and energy flow between energy consumer and utility grid, aiding energy users not only to utilize energy, but also to produce, sell, and share energy with other consumers or with the utility grid. This type of energy user is referred to as the "prosumer". Thus, prosumer management structures are important within energy market. However, prior studies on energy sustainability has paid little attention on prosumer involvement and management. Likewise, the continuous growth of cities has increased data processing complexity. Consequently, processing and analysis of historical, online, and real-time streaming data from energy sensors and metering devices has become a major issue in smart cities. Therefore, this research aims to present an architecture based on big data to improve energy prosumption in smart community districts by applying enterprise architecture approach grounded on The Open Group Architecture Framework (TOGAF). Accordingly, qualitative methodology is adopted to collect data by employing case study by focus group interview from two energy companies in Norway to preliminarily validate the architecture. Findings from the case studies was demonstrated in ArchiMate modeling language to evaluate the applicability of the architecture. Moreover, findings from this study provides practical scenario that energy service providers can refer to in designing their own energy data platforms. Essentially, the architecture can be utilized as a guide to help municipalities and policy makers in creating approach for energy data analytics in smart community districts towards making decisions for future energy prosumption planning.

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Section: Service Layermentioning

confidence: 99%

Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

et al. 2019

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“…Refs. [11][12][13] are some examples of our previous work from the domains of mobility and energy, which enable the sharing of mobility resources (e.g., car and bike sharing) as well as the optimized utilization of energy sources subject to certain economic and ecological goals. Furthermore, various research activities were conducted towards analyzing the emerging relationships within future smart cities and the belonging stakeholders.…”

Section: General Smart City Theorymentioning

confidence: 99%

Sustainable and Reliable Information and Communication Technology for Resilient Smart Cities

Tcholtchev

Schieferdecker

2021

Smart Cities

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Information and Communication Technology (ICT) is at the heart of the smart city approach, which constitutes the next level of cities’ and communities’ development across the globe. Thereby, ICT serves as the gluing component enabling different domains to interact with each other and facilitating the management and processing of vast amounts of data and information towards intelligently steering the cities’ infrastructure and processes, engaging the citizens and facilitating new services and applications in various aspects of urban life—e.g., supply chains, mobility, transportation, energy, citizens’ participation, public safety, interactions between citizens and the public administration, water management, parking and many other cases and domains. Hence, given the fundamental role of ICT in cities in the near future, it is of paramount importance to lay the ground for a sustainable and reliable ICT infrastructure, which can enable a city/community to respond in a resilient way to upcoming challenges, whilst increasing the quality of life for its citizens. A structured way of providing and maintaining an open and resilient ICT backbone for a city/community is constituted by the concept of an Open Urban Platform. Therefore, the current article presents the activities and developments necessary to achieve a resilient, standardized smart city, based on Open Urban Platforms (OUP) and the way these serve as a blueprint for each city/community towards the establishment of a sustainable and resilient ICT backbone.

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“…Furthermore, eMaaS has the potential to reduce dependence on private vehicles and provide seamless mobility as it allows the collaboration and integration across transport operators, by providing seamless transport services to citizens via a single application (Benevolo et al, 2016;Ahuja and Khosla, 2019). eMaaS provide data for citizens to have open access to reliable, easy, viable, flexible and seamless transit from one destination to another within urban and intercity trips (Tcholtchev et al, 2014).…”

Section: Background Of Electric Mobility As a Servicementioning

confidence: 99%

“…In eMaaS scenario API aids citizens to publish and/or subscribe to e-mobility related services (Choi et al, 2013). API provides free access to mobility data to offer services to citizens and businesses in creating open ecosystem of mobility data sources, mobility data providers and mobility application and/or service developers in making transport predictions, detecting anomalies in EV fleets for early warning and for producing recommendations to eMaaS operators (Tcholtchev et al, 2014). Furthermore, APIs are means to extending eMaaS capabilities to citizens, stakeholders, etc., to facilitate the usage and exploiting of collected fragmented, unstructured and heterogeneous data to improve emobility services via open interfaces, deployed on internet standards such as JSON and XML for data exchange (Holley et al, 2014).…”

Section: Overview Of Emaasmentioning

confidence: 99%

Big data driven multi-tier architecture for electric mobility as a service in smart cities

Anthony

Petersen

Ahlers

et al. 2020

IJESM

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Purpose Electric mobility as a service (eMaaS) is suggested as a possible solution to ease transportation and lessen environmental issues by providing a collaborative transport sharing infrastructure that is based on electric vehicles (EVs) such as electric cars, electric bicycles and so on. Accordingly, this study aims to propose a multi-tier architecture to support the collection, processing, analytics and usage of mobility data in providing eMaaS within smart cities. The architecture uses application programming interfaces to enable interoperability between different infrastructures required for eMaaS and allow multiple partners to exchange and share data for making decision regarding electric mobility services. Design/methodology/approach Design science methodology based on a case study by interview was used to collect data from an infrastructure company in Norway to verify the applicability of the proposed multi-tier architecture. Findings Findings suggest that the architecture offers an approach for collecting, aggregating, processing and provisioning of data originating from sources to improve electric mobility in smart cities. More importantly, findings from this study provide guidance for municipalities and policymakers in improving electric mobility services. Moreover, the author’s findings provide a practical data-driven mobility use case that can be used by transport companies in deploying eMaaS in smart cities. Research limitations/implications Data was collected from a single company in Norway, hence, it is required to further verify the architecture with data collected from other companies. Practical implications eMaaS operates on heterogeneous data, which are generated from EVs and used by citizens and stakeholders such as city administration, municipality transport providers, charging station providers and so on. Therefore, the proposed architecture enables the sharing and usage of generated data as openly available data to be used in creating value-added services to improve citizen’s quality of life and viability of businesses. Social implications This study proposes the deployment of electric mobility to address increased usage of vehicles, which contributes to pollution of the environment that has a serious effect on citizen’s quality of life. Originality/value This study proposes a multi-tier architecture that stores, processes, analyze and provides data and related services to improve electric mobility within smart cities. The multi-tier architecture aims to support and increase eMaaS operation of EVs toward improving transportation services for city transport operators and citizens for sustainable transport and mobility system.

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The Concept of a Mobility Data Cloud: Design, Implementation and Trials

Cited by 9 publications

References 8 publications

Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

Sustainable and Reliable Information and Communication Technology for Resilient Smart Cities

Big data driven multi-tier architecture for electric mobility as a service in smart cities

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