Multi Agent Parking Lots Modelling For Anomalies Detection While Parking

Recently crowded cities are having an increasing need for an advanced parking management system to help drivers to locate the vacant and available parking places in real time. In this study, the authors propose a novel multi agent parking lots management system based on vision approach to detect and localise the vacant parking places at a city level and to provide drivers with relevant information in real time. The elaboration of a multi agent approach for parking places modelling enable the cooperation between different agents in order to improve the results of the proposed system and to detect different cases of anomalies and abnormal situations that can be caused by the drivers, such as the cases where parked cars affect the state of more than one place or when a car blocks the access to parking lots.