GS1 Connected Car: An Integrated Vehicle Information Platform and Its Ecosystem for Connected Car Services based on GS1 Standards

Han, Jiyong; Kim, Hyunseob; Heo, Sehyeon; Lee, Nakyung; Kang, Dong-Wook; Oh, Byungsoo; Kim, KyungTaek; Yoon, Wondeuk; Byun, Jaewook; Kim, Dae-Young

doi:10.1109/ivs.2018.8500698

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Meanwhile, other works (e.g. [11], [12], [13]) have leveraged a flexible extension mechanism, provided by the EPCIS standard that enables developers to create enriched events, in which, additional or adjusted data members can be attached to. Consequently, additional information coming from IoT data sources can be easily stored within EPCIS events, such as temperature measurements collected within a cooling supply chain industry [11], IoT data (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, additional information coming from IoT data sources can be easily stored within EPCIS events, such as temperature measurements collected within a cooling supply chain industry [11], IoT data (e.g. healthcare-related, AI speakers) within a vehicle connected ecosystem [12], and data from smart parking-related sensors (e.g. active infrared sensors, RFID, etc.)…”

Section: Introductionmentioning

confidence: 99%

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SmartProduct: a prototype platform for product monitoring-as-a-service, leveraging IoT technologies and the EPCIS standard

Zervoudakis¹,

Plevraki²,

Plevridi³

et al. 2022

Preprint

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Internet of Things (IoT) technologies have received significant attention in recent years by encompassing a set of technologies that enable a variety of heterogeneous physical objects, called things, to interact and communicate through efficient networking protocols. These technologies have already been used in several domains such as in manufacturing, healthcare, agriculture, etc. Another domain in which IoT can be applicable and useful, is that of supply chain tracing, where products are monitored throughout the whole supply chain. IoT data collection can enable the proliferation of applications, which are able to track environmental-related information per product (e.g. storage conditions), and combine them together with traceability data in order to provide full product monitoring services.Traditional supply chain tracing methods (e.g. product tracing, storage conditions' monitoring, transport vehicles used, etc.) involve costly and error-prone procedures, as human involvement is often required. Severe fragmentation is also possible, as the various stakeholders involved (producers, distributors, retailers), do not use interoperable technologies and standards.To overcome these limitations, we propose a flexible and secure prototype platform that leverages IoT technologies, jointly with the Electronic Product Code Information Service (EP-CIS) standard. The IoT software/hardware modules of the platform are used to collect IoT data (i.e. geographical location, ambient temperature, humidity, etc.), while the EPCIS-based software collects and records conventional supply chain traceability data (e.g. type of product manufactured, product loaded/unloaded into/from a truck, product transformed to another product, etc.). A rich RESTful API with strong authentication/authorisation mechanisms is used to offer Product-Monitoring-as-a-Service (PMaaS) to third-party applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SmartProduct: a prototype platform for product monitoring-as-a-service, leveraging IoT technologies and the EPCIS standard

Zervoudakis¹,

Plevraki²,

Plevridi³

et al. 2022

Preprint

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“…Our vision is that the in-vehicle environment should offer assistance [14,15] for the user in three main areas, namely: (1) the driving and trip planning task, (2) their health and well-being and (3) managing social connections and online activities. By empowering the driver to have access to information ecosystem [16] regarding these three areas and providing multi-modal communication and implementing proactive interaction for the in-vehicle system, we aim to create an enhanced driving experience that also diminishes the overloading of the driver with information unrelated to the driving task.…”

Section: Introductionmentioning

confidence: 99%

Ubiquitous Computing: Driving in the Intelligent Environment

et al. 2021

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In the context of hyper-connected cars and a growing heterogeneous digital ecosystem, we wish to make the most of the data available from the various sensors, devices and services that compose the ecosystem, in order to propose a proof of concept in-vehicle system that enhances the driving experience. We focus on improving the driving experience along three main directions, namely: (1) driving and trip planning, (2) health and well-being and (3) social and online activities. We approached the in-vehicle space as a smart interface to the intelligent driving environment. The digital data-producers in the ecosystem of the connected car are sources of raw data of various categories, such as data from the outside world, gathered from sensors or online services, data from the car itself and data from the driver gathered with various mobile and wearable devices, by means of observing his state and by means of his social media and online activity. Data is later processed into three information categories—driving, wellness, and social—and used to provide multi-modal interaction, namely visual, audio and gesture. The system is implemented to act in response to the trafficked information on different levels of autonomy, either in a reactive manner, by simple monitoring, or in a proactive manner. The system is designed to provide an in-vehicle system that assists the driver with planning the travel (Drive panel), by providing a comfortable environment for the driver while monitoring him (Wellness panel), and by adaptively managing interactions with their phone and the digital environment (Social panel). Heuristic evaluation of the system is performed, with respect to guidelines formulated for automated vehicles, and a SWOT analysis of the system is also presented in the paper.

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