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).
![](https://www.beaconzone.co.uk/blog/wp-content/uploads/2020/01/smartparking.png)
The system uses an Android app and Gimbal Series 21 beacons advertising Eddystone.
![](https://www.beaconzone.co.uk/blog/wp-content/uploads/2020/01/smartparkingflowchart.png)
The server side uses an RSSI path loss model, based on Bayesian filtering of RSSI, to improve the accuracy of location estimation.
![](https://www.beaconzone.co.uk/blog/wp-content/uploads/2020/01/appandparkinglots.png)
The app provides facilities to register the user/vehicle, locate parking and charge the user based on the exact time used.