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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.
Highlights
The theory of internet of things (IoT) began with objects as a pre-identified devices
We can say that our road network for this specific area around the driver is completely prepared, we will be able to call our distributed strategy to find the optimal path between the location of the driver and the set of parking places, in our problem the best path is viewed in terms of two elements: the total distance of the trip and the total time consumed to arrive at the location of the parking which is related to the traffic flow on this path
In our parking infrastructure we are based on a set of sensors to control the number of vehicles that visit our parking, we use a set of infrared sensors under the category of Passive Infrared (PIF), those components are wirelessly connected to the Parking Agent (PA) which is modelled by a raspberry pi component using TCP/IP protocol which allows us to communicate using wifi network
Summary
The theory of internet of things (IoT) began with objects as a pre-identified devices. Use a set of sensors to control and manage the state of parking slots In this wrok, a new concept of smart parking system will be developed to reduce the time consumed by the driver to find an available parking space to park his vehicle to reduce the traffic flow in the city [18]. A new concept of smart parking system will be developed to reduce the time consumed by the driver to find an available parking space to park his vehicle to reduce the traffic flow in the city [18] Based on such a system, the user will be able to find the nearest parking spaces and they will propose for them the shortest path (in terms of distance and road traffic) to arrive at the location of the parking.
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