Abstract

We present a system to detect incidents causing traffic congestion in the road network by analyzing real-time GPS data. These data are collected from tracking devices installed in the vehicles or from drivers' smartphones. After positioning the GPS coordinates on the road map, the system assigns a traffic state to each road segment based on the velocities of vehicles, and generates alerts for incident based on a spatiotemporal analysis of these states. The system is validated by using GPS data simulated in typical traffic conditions in the city of Pisa, Italy. The results show an incident detection rate of 91.6% and an average detection time shorter than 7 minutes.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/smartcomp.2016.7501698
https://ieeexplore.ieee.org/document/7501698,
https://dblp.uni-trier.de/db/conf/smartcomp/smartcomp2016.html#DAndreaM16,
https://arpi.unipi.it/handle/11568/799457,
https://academic.microsoft.com/#/detail/2501798130
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Published on 01/01/2016

Volume 2016, 2016
DOI: 10.1109/smartcomp.2016.7501698
Licence: CC BY-NC-SA license

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