Laboratory development of an autonomic parking management system

The growth of the number of vehicles in recent years has led to road congestion and lack of parking spaces. In large cities the number of vehicles exceeds the road network capacity at peak hours, which occurs also due to parking lots on the roadside. But is also true that the number of vehicles usually exceeds parking lots capacity; there are many areas in which there aren't enough parking lots and there is a lot of time spent by drivers looking for a parking space, which is added to the congestion, increase fuel consumption and emissions are increasingly higher leading to higher pollution in the zone. Usually city centers and important economic areas are the busiest areas. This paper presents a concept of a parking lot management system with autonomic functions. The system will be achieved using sensors, actuators and displays, all connected to a development boards network, microcontroller-based. A set of autonomic functions will be described, along with the algorithms required for their implementation. Also, an experimental small scale model will be realized to test the proposed functions and algorithms.