This paper addresses vehicle tracking using an approach based on the DAB+ standard, which is becoming increasingly popular in private vehicles as an alternative to the old FM radio standard. The digital standard allows the use of different contents useful to the driver. On the other hand, the bidirectional channel of the DAB+ standard could allow the vehicle to transmit generic information. The aim of this work is to transmit some parameters of the radio channel to allow the identification and tracking of vehicle position. By means of a neural network it is possible to reconstruct the path of the vehicles through a maximum likelihood comparison between data contained in a data-set and the information offered by the vehicles in real time. Experimental tests conducted on the road have shown how it is possible to obtain a high accuracy of vehicle traffic in a transparent manner and with respect for the processing of personal data in accordance with current European legislation.

A DAB+ Approach for Vehicular Tracking

Bertolusso, Marco;Fadda, Mauro;Giusto, Daniele D.
2021

Abstract

This paper addresses vehicle tracking using an approach based on the DAB+ standard, which is becoming increasingly popular in private vehicles as an alternative to the old FM radio standard. The digital standard allows the use of different contents useful to the driver. On the other hand, the bidirectional channel of the DAB+ standard could allow the vehicle to transmit generic information. The aim of this work is to transmit some parameters of the radio channel to allow the identification and tracking of vehicle position. By means of a neural network it is possible to reconstruct the path of the vehicles through a maximum likelihood comparison between data contained in a data-set and the information offered by the vehicles in real time. Experimental tests conducted on the road have shown how it is possible to obtain a high accuracy of vehicle traffic in a transparent manner and with respect for the processing of personal data in accordance with current European legislation.
978-1-6654-4908-3
Broadcast applications to Smart Cities; Digital Audio Broadcasting (DAB); Machine learning for communications; Vehicular Mobility and Tracking
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11584/319857
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