Detecting cycle failures at signalized intersections using video image processing

J Zheng, Y Wang, NL Nihan… - Computer‐Aided Civil …, 2006 - Wiley Online Library
Signal cycle failure (or overflow) is an interrupted traffic condition in which a number of
queued vehicles are unable to depart due to insufficient capacity during a signal cycle …

Laser intensity vehicle classification system based on random neural network

KF Hussain, GS Moussa - Proceedings of the 43rd annual Southeast …, 2005 - dl.acm.org
This paper presents a Laser Intensity Vehicle Classification System (LIVCS) based upon
imagery obtained from range sensors (called LIVCS). Current systems that utilize loop …

Automatic vehicle classification system using range sensor

KF Hussain, GS Moussa - … and Computing (ITCC'05)-Volume II, 2005 - ieeexplore.ieee.org
This paper presents an automatic vehicle classification system based upon laser intensity
images obtained from range sensors (called AVCSLII). Current systems that utilize loop …

[LIVRE][B] Vehicle monitoring for traffic surveillance and performance using multi-sensor data fusion

S Park - 2004 - search.proquest.com
As traffic surveillance technology continues to advance, more complete and intelligent traffic
information are available by processing detector data. The proposed dissertation aims to …

Automated real-time vehicle classifier development based on vehicle signature

S Park, SG Ritchie - International Journal of Granular …, 2009 - inderscienceonline.com
Complete and accurate traffic information is becoming more and more available with the
advance in transportation surveillance technology. Especially, vehicle classification …

Automated Vehicle Classifier for Traffic Management and Control

S Park, S Oh - 환경논총 (Journal of Environmental Studies), 2008 - s-space.snu.ac.kr
Vehicle classification is the process of vehicle type recognition based on given vehicle
characteristics. Accurate vehicle classification has many important applications in …