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Car telematics big data analytics for insurance and innovative mobility services

Academic Article
Publication Date:
2019
abstract:
Car telematics is a large and growing business sector aiming to collect mobility-related data (mainly private and commercial vehicles) and to develop services of various nature both for individual citizens and other companies. Such services and applications include information systems to support car insurances, info-mobility services, ad hoc studies for planning purposes, etc. In this work we report and discuss some of the key challenges that a car telematics pilot application is facing within the EU project "Track and Know". The paper introduces the overall context, the main business goals identified as potentially beneficial of big data solutions and the type of data sources that such applications can rely on (in particular, those available within the project for experimental studies), then discusses initial results of the solutions developed so far and ongoing lines of research. In particular, the discussion will focus on the most relevant applications identified for the project purposes, namely new services for car insurance, electric vehicles mobility and car- and ride-sharing.
Iris type:
01.01 Articolo in rivista
Keywords:
Crash prediction; Mobility analysis; Electric vehicles; Carpooling
List of contributors:
Nanni, Mirco
Authors of the University:
NANNI MIRCO
Handle:
https://iris.cnr.it/handle/20.500.14243/364257
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/364257/29945/prod_416549-doc_146844.pdf
https://iris.cnr.it//retrieve/handle/20.500.14243/364257/29947/prod_416549-doc_150653.pdf
Published in:
JOURNAL OF AMBIENT INTELLIGENCE & HUMANIZED COMPUTING (PRINT)
Journal
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URL

https://link.springer.com/article/10.1007/s12652-019-01632-4
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