Digital Services Based on Vehicle Usage Data: The Underlying Vehicle Data Value Chain
The quantify-everything trend has reached the automotive sector while digitalization is a still the major driver of innovation. New digital services based on vehicle usage data are being created for different actors and purposes, e.g. for individual drive
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bstract. The quantify-everything trend has reached the automotive sector while digitalization is a still the major driver of innovation. New digital services based on vehicle usage data are being created for different actors and purposes, e.g. for individual drivers who want to know about their own driving style and behavior or for fleet managers who want to find out about their fleet. As a side effect, a growing number of ICT start-ups from outside Europe have entered the automotive market to work on innovative use cases. Their digital services are based on the availability of vehicle data on a large scale. To better understand and capture this ongoing digital change in the automotive sector, we present an extended version of the Vehicle Data Value Chain (VDVC) originally published in Kaiser et al. (2019a) and use it as a model for better structuring, describing and testing digital services based on vehicle usage data. We classify digital services of two projects by using the VDVC in our paper, an intermodal mobility service and a pothole and driving style detection service. Thus, we evaluate the VDVC and show its general applicability and usefulness in a practical context. Keywords: Big data · Big Data Value Chain · Vehicle Data Value Chain · Digital services based on vehicle usage data · Connected services · Crowdsourcing of data
1 Introduction and Motivation Modern mobility is an important driver of our increasingly global economy: raw materials are transported around the globe and processed into products in value-added processes until they finally find their way to the customer via many intermediate stations. Passenger cars and trucks are assembled in a complex supply chain consisting of many small parts and components and finally manufactured in several value-added steps on a production line before they are delivered to customers. This basic business principle was very successful in many domains for a long time, until digitalization added another business aspect, which is becoming an important driver and has even become the decisive © Springer Nature Switzerland AG 2020 A. Bozzon et al. (Eds.): WEBIST 2019, LNBIP 399, pp. 22–43, 2020. https://doi.org/10.1007/978-3-030-61750-9_2
Digital Services Based on Vehicle Usage Data
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criterion in many sectors, including the automotive industry (Accenture 2016). Similar to smartphones, where the focus is no longer on the original innovation, i.e. telephoning, but on digital apps, it is becoming increasingly important for vehicles, too, which digital functionalities they offer - from the Bluetooth connectivity with smartphones to Vehicleto-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) services or to third-party services that someone can install. And in the context of vehicle use, services based on vehicle usage data have the potential to go beyond the usual application focus of quantified self-applications, namely self-optimization, learning about oneself, social comparison and interaction or gaming, as they can even be extended in a life-saving manner. Driving s
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