Towards a Smart Intersection using Traffic Load Balancing Algorithm
Date
2017-07-20
Authors
Zaghal, Raid
Thabatah, Khalid
Salah, Saeed
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Over the past few years vehicle usage has increased
exponentially worldwide, but the capacities of transportation
systems are still limited, and have not improved in a tantamount
way to expeditiously cope with the number of vehicles traveling
on them. As a result, road jamming and traffic correlated
pollution has increased, and became complicated and chaotic,
leading to an adverse effect socially and financially worldwide.
Fortunately, Intelligent Transportation Systems are promising
technologies that have been introduced to assist in reducing the
side effects of these problems. The intelligence of these systems
mainly depends on the accuracy and timely reliable application
of real time traffic information. In this paper, we propose a novel
mechanism based on queuing theory aiming at enhancing the
load balancing and reducing waiting times on busy road
intersections. The simulation results were obtained using the
OpNet simulator and have shown that the proposed mechanism
can effectively reduce average waiting time and queue lengths up
to 44% and thus provide an efficient solution for the load
balancing problem.
Description
Keywords
Intelligent Transportation Systems (ITS) , VANET , M/M/1 Queueing Model , Traffic Congestion , Traffic Load Balancing , Smart Traffic Light