Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Incident Prediction Models Over Large Geographical Areas for
  Emergency Response Systems   Principled decision making in emergency response management necessitates the
use of statistical models that predict the spatial-temporal likelihood of
incident occurrence. These statistical models are then used for proactive
stationing which allocates first responders across the spatial area in order to
reduce overall response time. Traditional methods that simply aggregate past
incidents over space and time fail to make useful short-term predictions when
the spatial region is large and focused on fine-grained spatial entities like
interstate highway networks. This is partially due to the sparsity of incidents
with respect to the area in consideration. Further, accidents are affected by
several covariates, and collecting, cleaning, and managing multiple streams of
data from various sources is challenging for large spatial areas. In this
paper, we highlight how this problem is being solved for the state of
Tennessee, a state in the USA with a total area of over 100,000 sq. km. Our
pipeline, based on a combination of synthetic resampling, non-spatial
clustering, and learning from data can efficiently forecast the spatial and
temporal dynamics of accident occurrence, even under sparse conditions. In the
paper, we describe our pipeline that uses data related to roadway geometry,
weather, historical accidents, and real-time traffic congestion to aid accident
forecasting. To understand how our forecasting model can affect allocation and
dispatch, we improve upon a classical resource allocation approach.
Experimental results show that our approach can significantly reduce response
times in the field in comparison with current approaches followed by first
responders.

12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
2
The categories of this paper are: math
16
The categories of this paper are: stat
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci