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Implementation of a Magnetometer based Vehicle Detection System for Smart Parking applications
- Source :
- ISC2
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- The time lost looking for a free parking spot in a city impacts negatively not only on the mood of the drivers but also on the environment in terms of air quality and fuel consumption. The vehicle detection can be considered as the most important task in Smart Parking systems as it allows to automatically monitor the occupancy state of the parking spots in a city. In this paper, we implement and test a vehicle detection system based on a magnetometer sensor, which is part of a complete Smart Parking system under development at the University of Cagliari. After a preliminary analysis conducted to test the performance of the magnetometer, we conducted two specific experiments to investigate the suitability of the magnetometer as the mean to detect the presence of a vehicle in the parking spots. The first experiment, involving 15 different vehicles, has demonstrated that the magnetometer can be used to reliably detect the presence of a vehicle in a parking spot if it is placed under the front or rear axle of the vehicle. From the second experiment it resulted that, when considering 3 adjacent parking spots and only one magnetometer placed in the central spot, it is not possible to reliably detect the vehicles parked on the adjacent spots. Therefore, one magnetometer for each considered parking spot is needed.
- Subjects :
- business.industry
Magnetometer
Computer science
010401 analytical chemistry
Real-time computing
020206 networking & telecommunications
Smart Parking
02 engineering and technology
01 natural sciences
0104 chemical sciences
law.invention
Preliminary analysis
Axle
Magnetometer sensor
law
Smart city
Vehicle detection
Smart City
0202 electrical engineering, electronic engineering, information engineering
Fuel efficiency
Internet of Thing
Internet of Things
business
Smart parking
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Smart Cities Conference (ISC2)
- Accession number :
- edsair.doi.dedup.....6e678d80c920219720db99e56cdd2a94
- Full Text :
- https://doi.org/10.1109/isc251055.2020.9239005