OCURO: Estimation of Space Occupation and Vehicle Rotation in Controlled Parking Areas
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Crowdsourcing for on-street smart parking
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
MobiSIM: a simulation library for resource prediction of smartphones and wireless sensor networks
Proceedings of the 46th Annual Simulation Symposium
Sharing with caution: Managing parking spaces in vehicular networks
Mobile Information Systems
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Parking problems are commonplace in most major cities. The limited availability of parking results in traffic congestion, air pollution as well as driver frustration. The price for parking expansion is usually prohibitive or extremely high. Recently researchers turned to applying technologies for efficient parking management. In our previous work, we have developed an optical wireless sensor network (WSN) for traffic monitoring. We have demonstrated our system to the public in several exhibitions. It is realized that this simple invention could be applied to monitor vehicles in a parking garage. The system can then inform drivers of the number of available parking spaces and in which area should they be directed to. This kind of system should avoid driver's frustration in trying endlessly to find a parking space in a crowded parking garage. This paper describes our work to modify our original WSN and applies it to parking garages. Problems associated to applying our original WSN to parking garage are explained, and solutions are proposed.