Open Access Open Access  Restricted Access Subscription or Fee Access

Bayesian Network Approach to Vehicle Mode Monitoring Using Embedded System with 3-axis Accelerometer

Atis Elsts, Artis Mednis, Leo Selavo


Vehicle activity monitoring is an important problem in the transport domain: the activities have impact on the fuel consumption of the vehicle, and therefore its economical feasibility. Activity detection usually is performed using relatively expensive and complicated GNSS receivers. We propose a Bayesian network based algorithm for vehicle mode detection. The algorithm can reliably differentiate between standing and moving modes in a diverse set of test scenarios. It is suitable for a low-cost hardware consisting of low-power microcontroller and uses 3-axis accelerometer as the sole sensor.


vehicle, monitoring, embedded, accelerometer, Bayesian network.

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.