Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantifying Urban Traffic Anomalies   Detecting and quantifying anomalies in urban traffic is critical for
real-time alerting or re-routing in the short run and urban planning in the
long run. We describe a two-step framework that achieves these two goals in a
robust, fast, online, and unsupervised manner. First, we adapt stable principal
component pursuit to detect anomalies for each road segment. This allows us to
pinpoint traffic anomalies early and precisely in space. Then we group the
road-level anomalies across time and space into meaningful anomaly events using
a simple graph expansion procedure. These events can be easily clustered,
visualized, and analyzed by urban planners. We demonstrate the effectiveness of
our system using 7 weeks of anonymized and aggregated cellular location data in
Dallas-Fort Worth. We suggest potential opportunities for urban planners and
policy makers to use our methodology to make informed changes. These
applications include real-time re-routing of traffic in response to abnormally
high traffic, or identifying candidates for high-impact infrastructure
projects.

33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
2
The categories of this paper are: math