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  4. Cloudthink: A Scalable Secure Platform for Mirroring Transportation Systems in the Cloud
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Cloudthink: A Scalable Secure Platform for Mirroring Transportation Systems in the Cloud

Journal
Transport
Type
journal article
Date Issued
2015-10
Author(s)
Wilhelm, Erik
;
Siegel, Joshua
;
Mayer, Simon  
;
Sadamori, Leyna
;
Dsouza, Sohan
;
Chau, Chi-Kin
;
Sarma, Sanjay
Abstract (De)
We present a novel approach to developing a vehicle communication platform consisting of a low-cost, open-source hardware for moving vehicle data to a secure server, a Web Application Programming Interface (API) for the provision of third-party services, and an intuitive user dashboard for access control and service distribution. The CloudThink infrastructure promotes the commoditization of vehicle telematics data by facilitating easier, flexible, and more secure access. It enables drivers to confidently share their vehicle information across multiple applications to improve the transportation experience for all stakeholders, as well as to potentially monetize their data. The foundations for an application ecosystem have been developed which, taken together with the fair value for driving data and low barriers to entry, will drive adoption of CloudThink as the standard method for projecting physical vehicles into the cloud. The application space initially consists of a few fundamental and important applications (vehicle tethering and remote diagnostics, road-safety monitoring, and fuel economy analysis) but as CloudThink begins to gain widespread adoption, the multiplexing of applications on the same data structure and set will accelerate its adoption.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Taylor & Francis Group
Volume
30
Number
3
Start page
320
End page
329
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/105899
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

Eprints ID
255763
File(s)
Thumbnail Image

open.access

Name

Wilhelm-CloudThink-2015.pdf

Size

238 KB

Format

Adobe PDF

Checksum (MD5)

70ac74729ff501bc52b59774a842234e

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