Detecting Abnormal Vehicular Dynamics at Intersections Based on an Unsupervised Learning Approach and a Stochastic Model

Detecting Abnormal Vehicular Dynamics at Intersections Based on an Unsupervised Learning Approach and a Stochastic Model

This investigation demonstrates an unsupervised approach for modeling traffic flow and detecting abnormal vehicle behaviors at intersections. In the first stage, the approach reveals and records the different states of the system. These states are the result of coding and grouping the historical mot...

Full description

Bibliographic Details
Main Authors: Teresa Garcia-Ramírez, Hugo Jiménez-Hernández, Jose-Joel González-Barbosa
Format: Article
Language:English
Published: MDPI AG 2010-08-01
Series:Sensors
Subjects:
abnormal activities detection
unsupervised learning
long binary strings
Online Access:http://www.mdpi.com/1424-8220/10/8/7576/

Internet

http://www.mdpi.com/1424-8220/10/8/7576/

Similar Items