期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：8
页码：528-538
出版社：Science and Information Society (SAI)
摘要：Recently, the number of cars on the road has been
growing due to the increase in car manufacturing in parallel
with customer services provided to help the new driver to buy
cars at affordable prices. On the other hand, we find that the
infrastructure of big cities cannot support this number of cars and
with the disorganization of parking places in the city this problem
will lead us to have serious problem in the city which involves
the increase of drivers requests to find the nearest parking places
to avoid traffic congestion in those areas. In parallel today we
talk about the concept of smart cities and how can we use the
evolution of the Internet of Things (IoT) to improve the quality
of the smart city. Several efforts have been made on the Internet
of Things to improve the reliability and the productivity of public
infrastructure. Many problems have been handled and controlled
by the IoT such as vehicle traffic congestion, road safety and
the inefficient use of car parking spaces. This work introduces
a novel technique based on a distributed cloud architecture of
IoT to manage the parking systems combined with a distributed
swarm intelligence technique using the Ant System algorithm to
improve the process of finding the nearest car parking in the
minimum time based on the state of traffic on this road. This
prototype will help drivers to find the nearest car parking and
improve the exploitation of the available car parking in the city.
关键词：Intelligent traffic system; internet of things; swarm
intelligent; ant colony optimization; vehicle routing system; multiagent
system; smart parking system; smart cities; cloud computing
system
