Researchers at the University of Toronto and the University of Guelph, Canada, have a new paper on Smart Parking System Based on Bluetooth Low Energy Beacons with Particle Filtering (pdf).
The system uses an Android app and Gimbal Series 21 beacons advertising Eddystone.
The server side uses an RSSI path loss model, based on Bayesian filtering of RSSI, to improve the accuracy of location estimation.
The app provides facilities to register the user/vehicle, locate parking and charge the user based on the exact time used.