Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mobile Crowdsourced Sensors Selection for Journey Services   We propose a mobile crowdsourced sensors selection approach to improve the
journey planning service especially in areas where no wireless or vehicular
sensors are available. We develop a location estimation model of journey
services based on an unsupervised learning model to select and cluster the
right mobile crowdsourced sensors that are accurately mapped to the right
journey service. In our model, the mobile crowdsourced sensors trajectories are
clustered based on common features such as speed and direction. Experimental
results demonstrate that the proposed framework is efficient in selecting the
right crowdsourced sensors.

10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
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The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics