Affiliations: Jodrey School of Computer Science, Acadia University,
Wolfville, NS, Canada | King Faisal University, Hofuf, Saudi Arabia | Computer Engineering Department, King Fahd University
of Petroleum and Minerals, Dhahran, Saudi Arabia
Note: [] Corresponding author: Elhadi M. Shakshuki, Jodrey School of
Computer Science, Acadia University, Wolfville, Nova Scotia, B4P 2R6 Canada.
Tel.: +1 902 585 1524; Fax: +1 902 585 1067; E-mail:
elhadi.shaksuki@acadiau.ca, eshakshuki@kfu.edu.sa
Abstract: Recently, significant improvements have been made in the area of
vehicular communication systems. Furthermore, vehicle-to-vehicle communication
is considered a key concept for keeping roads safe. An efficient implementation
of these systems is necessary to ensure the safety of driving situations and to
reduce the collision rates. This paper proposes a Context-Aware Driver
Assistance System that links drivers with the physical environment surrounding
them using multiple types of sensors and traffic systems as well as considering
the senior driver's difficulties and the system processing time. This is
achieved by developing a warning system that assists drivers to avoid
collisions and improve their response times. The proposed system architecture
consists of a set of components to process the user's request such as parking
assistance, and to provide responses and advices when needed. These components
include communication, knowledge exchange, knowledge update, and
context-history. Also, it includes other processes such as context-history
manipulation, hazard detection, and hazard detection control. The main goal of
the proposed system is to reduce the number of car accidents and improve
driver's decisions. The NXT Robotic environment is used to demonstrate the
feasibility of the proposed system.
