MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor

Abstract

Internet of Things (IoT) is playing an increasingly important role in Intelligent Transportation Systems (ITS) for real-time sensing and communication. In ITS, the velocity of vehicles provides important information for traffic management. However, the present methods for monitoring vehicle speed have many shortcomings. In this paper, we propose MagSpeed, a novel vehicle speed estimation method based on a small magnetic sensor. The developed magnetic sensor system is wireless, cost-effective, and environmental-friendly. Through modelling of local magnetic field perturbations caused by a moving vehicle, we extract the characteristics of magnetic waveforms for speed estimation. In addition, we compare the performance of the models with other speed estimation algorithms, which shows the superior accuracy of the proposed technique in speed estimation.

Which Digital-Output MEMS Magnetometer Meets the Requirements of Modern Road Traffic Survey?

“…Magneto-inductive RM3100 sensors were used in [ 18 ] for road vehicles velocity estimation. The developed magnetic sensor system employed wireless connectivity, while it was cost-effective, and environmental-friendly.…”

SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing

“…To achieve the goal, magnetic dipole models have been used ans studied in [23], [32], [19], [33], [34], [35], where variations of magnetic fields caused by the moving objects have been measured by magnetic sensors to track the vehicles. In addition to speed measurement, passing vehicle counting has been studied in [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], where the wave pattern matching of magnetic signals has been adopted in the algorithms.…”