System for Detecting Urban Areas with High Density of Vehicle Incidents and Issues

DOI

10.2991/3ca-13.2013.105How to use a DOI?

Keywords

Data Mining;Event Data Recorder; Black-box; Accident Hotspots; Intelligent Transport Systems; Computer Vision; Road Safety; Traffic

Abstract

This paper presents an on-board perception and pre-collision system, aimed at detecting traffic risky situations in urban areas, as well as trying to avoid collision with other traffic participant deploying automatic braking and/or evasive steering maneuver. Information related to the detected risky situations is recorded in a vehicles’ local database. Local data are then transferred later into a global database that can be exploited for finding out remarkable traffic hotspots. This analysis is aimed at analyzing risky situation patterns, optimize resource allocation, and improve emergency call responses.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Enrique Puertas
AU  - Nourdine Aliane
AU  - María de la Luz Morales-Botello
AU  - Javier Fernández
PY  - 2013/04
DA  - 2013/04
TI  - System for Detecting Urban Areas with High Density of Vehicle Incidents and Issues
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
PB  - Atlantis Press
SP  - 431
EP  - 434
SN  - 1951-6851
UR  - https://doi.org/10.2991/3ca-13.2013.105
DO  - 10.2991/3ca-13.2013.105
ID  - Puertas2013/04
ER  -