_:naedc22425727445e9330c0ccdd05e7d9xb32
<http://schema.org/description>
"We propose a mobile crowdsourced sensors selection approach to improve the\njourney planning service especially in areas where no wireless or vehicular\nsensors are available. We develop a location estimation model of journey\nservices based on an unsupervised learning model to select and cluster the\nright mobile crowdsourced sensors that are accurately mapped to the right\njourney service. In our model, the mobile crowdsourced sensors trajectories are\nclustered based on common features such as speed and direction. Experimental\nresults demonstrate that the proposed framework is efficient in selecting the\nright crowdsourced sensors."
<https://deepai.org/profile/athman-bouguettaya>