Predictive Data Analysis and Machine Learning for Telematics Hub based on sensory data
Date Issued
2020
Author(s)
Istrefi, Dashmir
Abstract
The Internet of things (IoT) paradigm that enables devices
to communicate via the Internet, is being adopted in various areas, including smart homes and smart cities. ’Connected Car’ is a new term often associated with cars and other passenger vehicles, capable of internet
connectivity and sharing various kinds of data with other systems. This
paper evaluates the feasibility and technology readiness for this technology to be adopted in the automotive industry. We evaluate different
fleet management systems that are currently considered as a state-ofthe-art from a scientific point of view. Likewise, we consider commercial
platforms and sensory-enabled solutions that streamline the day-to-day
operations of different companies.
to communicate via the Internet, is being adopted in various areas, including smart homes and smart cities. ’Connected Car’ is a new term often associated with cars and other passenger vehicles, capable of internet
connectivity and sharing various kinds of data with other systems. This
paper evaluates the feasibility and technology readiness for this technology to be adopted in the automotive industry. We evaluate different
fleet management systems that are currently considered as a state-ofthe-art from a scientific point of view. Likewise, we consider commercial
platforms and sensory-enabled solutions that streamline the day-to-day
operations of different companies.
Subjects
File(s)![Thumbnail Image]()
Loading...
Name
2020-10Predictive_Data_Analysis_and_Machine_Learning_for_Telematics_Hub_based_on_sensory_data.pdf
Size
598.62 KB
Format
Adobe PDF
Checksum
(MD5):ea51a26045f00b3d92a238249e37a727
