| |
Record |
Links |
|
Author  |
Olof Görnerup; Per Kreuger; Daniel Gillblad |
|
| |
Title |
Autonomous accident monitoring using cellular network data |
Type |
Conference Article |
| |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
|
| |
Volume |
|
Issue |
|
Pages |
638-646 |
|
| |
Keywords |
Bayesian networks; Carrier mobility; Inference engines; Information systems; Sensor networks; Traffic congestion; Anomaly detection; Bayesian inference; Cellular network; Crisis management; Emergency response; Large scale sensor network; Mobile communication networks; Vehicular traffic scenarios; Accidents |
|
| |
Abstract |
Mobile communication networks constitute large-scale sensor networks that generate huge amounts of data that can be refined into collective mobility patterns. In this paper we propose a method for using these patterns to autonomously monitor and detect accidents and other critical events. The approach is to identify a measure that is approximately time-invariant on short time-scales under regular conditions, estimate the short and long-term dynamics of this measure using Bayesian inference, and identify sudden shifts in mobility patterns by monitoring the divergence between the short and long-term estimates. By estimating long-term dynamics, the method is also able to adapt to long-term trends in data. As a proof-of-concept, we apply this approach in a vehicular traffic scenario, where we demonstrate that the method can detect traffic accidents and distinguish these from regular events, such as traffic congestions. |
|
| |
Address |
Swedish Institute of Computer Science, Sweden |
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
|
| |
Language |
English |
Summary Language |
English |
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
|
| |
Track |
Analytical Modelling and Simulation |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
537 |
|
| Share this record to Facebook |
