Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling vehicular mobility patterns using recurrent neural networks   Data on vehicular mobility patterns have proved useful in many contexts. Yet
generative models which accurately reproduce these mobility patterns are
scarce. Here, we explore if recurrent neural networks can cure this scarcity.
By training networks on taxi from NYC and Shanghai, and personal cars from
Michigan, we show most aspects of the mobility patterns can be reproduced. In
particular, the spatial distributions of the street segments usage is well
captured by the recurrent neural networks, which other models struggle to do.

26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th