Modelling and Reasoning Techniques for Context Aware Computing in
  Intelligent Transportation System
  The emergence of Internet of Things technology and recent advancement in
sensor networks enabled transportation systems to a new dimension called
Intelligent Transportation System. Due to increased usage of vehicles and
communication among entities in road traffic scenarios, the amount of raw data
generation in Intelligent Transportation System is huge. This raw data are to
be processed to infer contextual information and provide new services related
to different modes of road transport such as traffic signal management,
accident prediction, object detection etc. To understand the importance of
context, this article aims to study context awareness in the Intelligent
Transportation System. We present a review on prominent applications developed
in the literature concerning context awareness in the intelligent
transportation system. The objective of this research paper is to highlight
context and its features in ITS and to address the applicability of modelling
techniques and reasoning approaches in Intelligent Transportation System. Also
to shed light on impact of Internet of Things and machine learning in
Intelligent Transportation System development.
