Intelligent Parking Allotment System Based on Traffic Prediction

Traffic congestion is one of the biggest concerns that almost everyone faces in their daily lives. We are not aware about the traffic conditions and scenarios of a particular area we wish to travel due to which we often spend a lot of time, waiting for the congestion to finish, leading to massive wastage of time and energy. The paper proposes a model for controlling the traffic congestion by accurate prediction of tourist traffic with the help of Radius Base Function(RBF) Neural Network which can help us maintain a traffic flow and have a quantitative analysis and relation with other factors. This paper also works on adaptive parking techniques that can be used to avoid the delay time of a vehicle and use slot allocation to park the vehicles at the available parking slots. We have checked our service in real test bed in Bus station parking Delhi.