Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: From Data to Actions in Intelligent Transportation Systems: a
  Prescription of Functional Requirements for Model Actionability   Advances in Data Science permeate every field of Transportation Science and
Engineering, resulting in developments in the transportation sector that {are}
data-driven. Nowadays, Intelligent Transportation Systems (ITS) could be
arguably approached as a ``story'' intensively producing and consuming large
amounts of data. A~diversity of sensing devices densely spread over the
infrastructure, vehicles or the travelers' personal devices act as sources of
data flows that are eventually fed {into} software running on automatic
devices, actuators or control systems producing, in~turn, complex information
flows {among} users, traffic managers, data analysts, traffic modeling
scientists, etc. These~information flows provide enormous opportunities to
improve model development and decision-making. This work aims to describe how
data, coming from diverse ITS sources, can be used to learn and adapt
data-driven models for efficiently operating ITS assets, systems and processes;
in~other words, for data-based models to fully become \emph{actionable}.
Grounded in this described data modeling pipeline for ITS, we~define the
characteristics, engineering requisites and challenges intrinsic to its three
compounding stages, namely, data fusion, adaptive learning and model
evaluation. We~deliberately generalize model learning to be adaptive, since,
in~the core of our paper is the firm conviction that most learners will have to
adapt to the ever-changing phenomenon scenario underlying the majority of ITS
applications. Finally, we~provide a prospect of current research lines within
Data Science that can bring notable advances to data-based ITS modeling, which
will eventually bridge the gap towards the practicality and actionability of
such models.

23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th