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Big Automotive Data Analytics Scenarios - PART OF THE FFI BADA PROJECT
Rise Viktoria.
Responsible organisation
2018 (English)Report (Other academic)
Abstract [en]

This report is part of the FFI1 BADA project which explores future business models and ecosystems of ‘Big Automotive Data Analytics’. The automotive industry is facing a digital revolution that is poised to change the competitive landscape fundamentally. Data driven services based on advanced analytics will play an increasingly important part. In a future ecosystem, it will likely be decisive to manage data and control the system, not to focus on individual vehicles. The future holds great promise for OEMs, the public sector and society as a whole. Vehicles incresaingly act as sensors in the road network, collecting vast amounts of data that can be combined with other types of data and used for a wide variety of purposes, increasing the effectiveness of the transportation system. However, there are several challenges for society and the automotive industry that must be met Before such promises are realized. As future events unfold and influence each other, analysis becomes increasingly speculative and fuzzy. To better gauge the nature of these future events, and generate ideas of possible end states and their implications, a scenario planning activity was initiated. The scenarios and their implications are a result of workshop sessions and insights from experts in the field of big automotive data analytics representing cities, OEMs, telecom and authorities. The process of selecting key factors and gauging their possible projections is designed to facilitate the creation of plausible and distinct future scenarios. However, these scenarios are not to be mistaken for predictions or forecasts. Scenarios fill a different purpose than strict trend analysis striving to estimate the probability of a given future end state. Instead scenarios allow for the generation of plausible thought provoking futures, each with a distinct set of implications that can be used by participants and others to generate a broad contingency plan. We have presented three distinct futures with varying threats and opportunities for all actors in a future BADA ecosystem. While the ecosystem model of the main BADA project report will look similar in all scenarios, the relative importance of the components of the ecosystem will be very scenario-specific. OEMs and public actors will assume radically different positions, occupying several or few niches in the ecosystem, and their opportunities for action will be influenced accordingly.

Place, publisher, year, edition, pages
RISE Research Institutes of Sweden , 2018. , p. 22
Series
Trafikverkets forskningsportföljer
Keywords [en]
Data collection, Traffic data, Intelligent transport system, big data
National Category
Infrastructure Engineering
Research subject
FOI-portföljer, Möjliggöra
Identifiers
URN: urn:nbn:se:trafikverket:diva-11628Archive number: TRV 2015/18935OAI: oai:DiVA.org:trafikverket-11628DiVA, id: diva2:1746998
Projects
BADA (Big automotive data analytics)
Funder
Swedish Transport Administration, TRV 2015/18935Available from: 2023-03-30 Created: 2023-03-30Bibliographically approved

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Infrastructure Engineering

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