Efficient Parking Allocation for SmartCities

The lack of parking spaces in large urban cities is responsible for a series of problems such as traffic congestion, air pollution and social anxiety. A promising approach to alleviate those effects is harnessing contributions from the human crowd equipped with mobile phones to find available and affordable parking spaces. In this work we propose a crowdsourcing system that aims to find the most suitable parking options for users in a smart city. We have developed ParkMatch, our algorithm deployed in our crowdsourcing system, that unlike existing approaches where a large unfiltered number of parking possibilities is given to the users, it provides the most appropriate set of results suitable to the user needs. Through experimental evaluation in our simulation model, we show the effectiveness and benefits of our approach.