Mar 13, 2020 · The aim of the specific study is to develop models to reveal the contributing factors which are related to the identification of PTWs using ...

The aim of the specific study is to develop models to reveal the contributing factors which are related to the identification of PTWs using solely smartphone ...

The aim of the specific study is to develop models to reveal the contributing factors which are related to the identification of PTWs using solely smartphone ...

Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches ... Powered Two-Wheeler Detection Using Crowdsourced Smartphone Data.

Our article "Powered Two-Wheeler detection using crowdsourced smartphone data" with Eleni Vlahogianni is now available in IEEE Transactions on Intelligent ...

The present paper aims to review the research dedicated to analyzing driving behavior based on smartphone sensors' data streams.

2020Sensors. See More · Powered Two-Wheeler Detection Using Crowdsourced Smartphone Data ... Transportation Mode Detection from Low-Power Smartphone ...

Five different machine learning algorithms were employed in the classification module where two binary classifications and a multi-class classification scenario ...

Nov 3, 2022 · We report the accurate determination of critical physical properties, modal frequencies, of two real bridges from everyday vehicle trip data.

In this paper, a novel approach is presented to detect vehicle encounters in smartphone sensor data.