NDLI: An Internet of Things (IOT) based Smart Parking Routing System for Smart Cities

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An Internet of Things (IOT) based Smart Parking Routing System for Smart Cities

Content Provider	Semantic Scholar
Author	Mouhcine, Elgarej Yassine, Karouani Fazazi, El Mansouri, Khalifa Mohamed, Youssfi
Copyright Year	2019
Abstract	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.
File Format	PDF HTM / HTML
DOI	10.14569/ijacsa.2019.0100870
Volume Number	10
Alternate Webpage(s)	https://thesai.org/Downloads/Volume10No8/Paper_70-An_Internet_of_Things_IOT_based_Smart_Parking.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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