A fuzzy based modelling of a smart car parking system using Arduino

Abstract

Smart parking system obtains information about available parking space, process it and then place the car at certain position. Many people are facing problems on parking vehicles in parking slot in some cities or most urban cities. This technology is inevitable for all vehicle users to acquire parking slot in cities. The objective of this research work is to design a smart parking system within a mall so as to implement the usage of small parking spaces for parking lots by implementation of story’s/floors so as to allow the parking of vehicles based on their weight. The smart parking system was implemented with the use of Arduino set, Matlab/simulink and fuzzy logic. Arduino was interfaced with the RFID card reader used as a medium to identify a user parking in a given parking lot. A set of rules are implemented in the fuzzy logic to control two sets of parking decisions, namely vehicle entry decision and parking decision by considering the weight of vehicles and the availability of parking spaces in the parking mall. The results obtained revealed a high value when the tag number corresponds to vehicles and a low value when the tag number does not correspond to vehicles at their corresponding weight. Also, RFID tag normally goes high when a light weighted vehicle was detected and goes low when a medium or heavy weighed vehicle was detected. In conclusion, the availability of a park lot depends on the presence of inactive RFID reader and the availability of a park for a sensed weighted vehicle depends on the availability of free parking lot.