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U&I aware: a framework using data mining and collision detection to increase awareness for intersection users

conference contribution
posted on 2007-01-01, 00:00 authored by F D Salim, Seng LokeSeng Loke, A Rakotonirainy, S Krishnaswamy
An intersection safety system should adapt to the particular characteristics that identify an intersection, by mining traffic and collision data. Given the large amount of sensor data that are obtained for intersections and from sensor-equipped cars, analysis and learning of such data is essential. This paper presents a new method to improve safety at intersections using a combination of a mathematical based collision detection algorithm and data mining. A number of scenarios at a simulated intersection are explored with encouraging results from our data mining implementation. The results suggest that our approach can help improve situation awareness and automate understanding of intersections, which, in turn, can be used to increase safety at intersections.

History

Event

IEEE Computer Society. Conference (21st : 2007 : Ontario, Canada)

Series

IEEE Computer Society Conference

Pagination

1 - 5

Publisher

Institute of Electrical and Electronics Engineers

Location

Ontario, Canada

Place of publication

Piscataway, N.J.

Start date

2007-05-21

End date

2007-05-23

ISBN-13

9780769528472

ISBN-10

0769528473

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

[Unknown]

Title of proceedings

AINAW'07 : Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia