Abstract: A multi-geomagnetic sensor speed measurement system comprises a geomagnetic vehicle detection module, a data transmission module, a data reception module and a backend data processing module. When measuring, the geomagnetic vehicle detection module collects the geomagnetic data when the vehicle passes and processes it to obtain temporal data; the backend processing module receives the data for data cleaning; the backend processing module selects the reference sensors and opens individual time windows; the backend processing module processes the temporal data based on the number of temporal data in the time window; in the case of duplicate-detection, a measurement threshold ? is set and the temporal data is merged based on the threshold ?; in the case of mis-detection, the data is interpolated to make up for the mis-detection; based on the alignment result, a minimum variance method is used to estimate the speed of the vehicle.

Abstract: The present disclosure provides a method for vehicle speed estimation using multiple geomagnetic sensors, and mainly solves the problem of low accuracy of vehicle speed estimation in existing single-geomagnetic, dual-geomagnetic and multi-geomagnetic scenarios. There are M vehicle detection modules (1), and the vehicle detection modules are deployed along a roadside at equal intervals and configured to detect processes that a vehicle approaches and leaves a detection point, record the time when the vehicle approaches the detection point and send time data to a data processing module (2).

Abstract: A multi-geomagnetic sensor speed measurement system comprises a geomagnetic vehicle detection module, a data transmission module, a data reception module and a backend data processing module. When measuring, the geomagnetic vehicle detection module collects the geomagnetic data when the vehicle passes and processes it to obtain temporal data; the backend processing module receives the data for data cleaning; the backend processing module selects the reference sensors and opens individual time windows; the backend processing module processes the temporal data based on the number of temporal data in the time window; in the case of duplicate-detection, a measurement threshold ? is set and the temporal data is merged based on the threshold ?; in the case of mis-detection, the data is interpolated to make up for the mis-detection; based on the alignment result, a minimum variance method is used to estimate the speed of the vehicle.

Abstract: The invention discloses a method for vehicle classification using multiple geomagnetic sensors, which mainly solves the problems of high cost, complex processing process and difficulty in large-scale deployment of the existing vehicle classification methods.