Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment

Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment

While extracting meaningful information from big data is getting relevance, literature lacks information on how to handle sensitive data by different project partners in order to collectively answer research questions (RQs), especially on impact assessment of new automated driving technologies. This...

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Bibliographic Details
Main Authors: Francesco Bellotti, Nisrine Osman, Eduardo H. Arnold, Sajjad Mozaffari, Satu Innamaa, Tyron Louw, Guilhermina Torrao, Hendrik Weber, Johannes Hiller, Alessandro De Gloria, Mehrdad Dianati, Riccardo Berta
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
research data collection and sharing
connected and automated driving
deployment and field testing
vehicular sensors
impact assessment
knowledge management
Online Access:https://www.mdpi.com/1424-8220/20/23/6773

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https://www.mdpi.com/1424-8220/20/23/6773

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