OP3S: On-Street Occupancy based Parking Prices Prediction System for ITS

"Now-a-days getting vehicle parked at appropriate
 location is world known problem in Intelligent Transportation
 System (ITS). Scarcity of parking space in habitat land pose
 various type of problems such as congestion, pollution, and pricing
 etc. In the Seattle city, current issue is congestion which happens
 due to circling of vehicle in search of parking. Accurate and
 specific parking information leads to curb congestion and hence
 pollution. Most of the people are sensitive to prices to be paid for
 parking their vehicle. Thus a machine learning based prediction
 system is proposed in order to predict on street occupancy based
 parking prices for the Seattle city. In this paper Seattle on-street
 parking data [1] is considered for training and testing purposes
 of various used machine learning models. Random forest achieved
 better performance over other machine learning models."