@inproceedings{e53e3864ebf1466884812c2c4768dc96,
title = "Adaptive traffic signal control system using camera sensor and embedded system",
abstract = "Adaptive traffic signal control system is needed to avoid traffic congestion that has many disadvantages. This paper presents an adaptive traffic signal control system using camera as an input sensor that providing real-time traffic data. Principal Component Analysis (PCA) is used to analyze and to classify object on video frame for detecting vehicles. Distributed Constraint Satisfaction Problem (DCSP) method determine the duration of each traffic signal, based on counted number of vehicles at each lane. The system is implemented in embedded systems using BeagleBoard{\texttrademark}.",
keywords = "Distributed Constraint Satisfaction Problem, Principal Component Analysis, Traffic Signal Control System, Vehicle Counting, Vehicle Detection",
author = "Rachmadi, {M. Febrian} and {Al Afif}, Faris and Wisnu Jatmiko and Petrus Mursanto and Manggala, {E. A.} and Ma'sum, {M. Anwar} and Adi Wibowo",
year = "2011",
doi = "10.1109/TENCON.2011.6129009",
language = "English",
isbn = "9781457702556",
series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",
pages = "1261--1265",
booktitle = "TENCON 2011 - 2011 IEEE Region 10 Conference",
note = "2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 ; Conference date: 21-11-2011 Through 24-11-2011",
}
