Subject: Smart Car, Smart City, IoT, Telematics Hub, Machine Learning, Predictive Maintenance
Year: 2020
Type: Proceedings
Title: Predictive Data Analysis and Machine Learning for Telematics Hub based on sensory data
Author: Istrefi, Dashmir
Author: Zdravevski, Eftim
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.
Publisher:
Relation: UBT International Conference
Identifier: oai:repository.ukim.mk:20.500.12188/22368
Identifier: http://hdl.handle.net/20.500.12188/22368
