@article{ART002359174},
author={Vasanth Ragu and Saraswathi Sivamani and Myeongbae Lee and 조현욱 and Cho Yong Yun and Park Jang Woo and Chang-Sun Shin},
title={Peak Hour Identification for Traffic Congestion Based on IoT Environments},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2018},
volume={13},
number={3},
pages={293-303},
doi={10.34163/jkits.2018.13.3.001}
TY - JOUR
AU - Vasanth Ragu
AU - Saraswathi Sivamani
AU - Myeongbae Lee
AU - 조현욱
AU - Cho Yong Yun
AU - Park Jang Woo
AU - Chang-Sun Shin
TI - Peak Hour Identification for Traffic Congestion Based on IoT Environments
JO - Journal of Knowledge Information Technology and Systems
PY - 2018
VL - 13
IS - 3
PB - Korea Knowledge Information Technology Society
SP - 293
EP - 303
SN - 1975-7700
AB - This study deals with the analysis of traffic congestion and the peak hour identification by using Kalman Filter and Ensemble Model. There are different types of traffic congestion, Roadway Traffic congestion, Airways Traffic congestion, Network Traffic congestion, and so on. This study focuses on Roadway Traffic congestion. The peak hour identification is essential to prevent roadway traffic congestion. In roadway traffic congestion, there are two categories in traffic data, namely Roadside Equipment (RSE) data and Video Detection System (VDS) data. Both data were collected from RSE devices and VDS devices, which are located in roadways signals, toll plaza, private sectors, and etc. In traffic data, it may contain error values. So, this paper applies the Kalman Filter for the purpose of removing the error values or inaccurate values and providing the cleaned Traffic data. The suggested study also uses the Ensemble Model to average the traffic data at corresponding hours easily to analyse the traffic data. To identify peak hour, it defines four different models by considering numbers, average times, and average speeds of vehicles. With the suggested method, the perfect peak hour in the traffic data can be easily and exactly obtained. In the tests and results, this paper showed the detailed process of peak hour identification in traffic congestion.
KW - Ensemble model;Kalman filter;RSE;VDS;Traffic data;and IoT
DO - 10.34163/jkits.2018.13.3.001
ER -
Vasanth Ragu, Saraswathi Sivamani, Myeongbae Lee, 조현욱, Cho Yong Yun, Park Jang Woo and Chang-Sun Shin. (2018). Peak Hour Identification for Traffic Congestion Based on IoT Environments. Journal of Knowledge Information Technology and Systems, 13(3), 293-303.
Vasanth Ragu, Saraswathi Sivamani, Myeongbae Lee, 조현욱, Cho Yong Yun, Park Jang Woo and Chang-Sun Shin. 2018, "Peak Hour Identification for Traffic Congestion Based on IoT Environments", Journal of Knowledge Information Technology and Systems, vol.13, no.3 pp.293-303. Available from: doi:10.34163/jkits.2018.13.3.001
Vasanth Ragu, Saraswathi Sivamani, Myeongbae Lee, 조현욱, Cho Yong Yun, Park Jang Woo, Chang-Sun Shin "Peak Hour Identification for Traffic Congestion Based on IoT Environments" Journal of Knowledge Information Technology and Systems 13.3 pp.293-303 (2018) : 293.
Vasanth Ragu, Saraswathi Sivamani, Myeongbae Lee, 조현욱, Cho Yong Yun, Park Jang Woo, Chang-Sun Shin. Peak Hour Identification for Traffic Congestion Based on IoT Environments. 2018; 13(3), 293-303. Available from: doi:10.34163/jkits.2018.13.3.001
Vasanth Ragu, Saraswathi Sivamani, Myeongbae Lee, 조현욱, Cho Yong Yun, Park Jang Woo and Chang-Sun Shin. "Peak Hour Identification for Traffic Congestion Based on IoT Environments" Journal of Knowledge Information Technology and Systems 13, no.3 (2018) : 293-303.doi: 10.34163/jkits.2018.13.3.001
Vasanth Ragu; Saraswathi Sivamani; Myeongbae Lee; 조현욱; Cho Yong Yun; Park Jang Woo; Chang-Sun Shin. Peak Hour Identification for Traffic Congestion Based on IoT Environments. Journal of Knowledge Information Technology and Systems, 13(3), 293-303. doi: 10.34163/jkits.2018.13.3.001
Vasanth Ragu; Saraswathi Sivamani; Myeongbae Lee; 조현욱; Cho Yong Yun; Park Jang Woo; Chang-Sun Shin. Peak Hour Identification for Traffic Congestion Based on IoT Environments. Journal of Knowledge Information Technology and Systems. 2018; 13(3) 293-303. doi: 10.34163/jkits.2018.13.3.001
Vasanth Ragu, Saraswathi Sivamani, Myeongbae Lee, 조현욱, Cho Yong Yun, Park Jang Woo, Chang-Sun Shin. Peak Hour Identification for Traffic Congestion Based on IoT Environments. 2018; 13(3), 293-303. Available from: doi:10.34163/jkits.2018.13.3.001
Vasanth Ragu, Saraswathi Sivamani, Myeongbae Lee, 조현욱, Cho Yong Yun, Park Jang Woo and Chang-Sun Shin. "Peak Hour Identification for Traffic Congestion Based on IoT Environments" Journal of Knowledge Information Technology and Systems 13, no.3 (2018) : 293-303.doi: 10.34163/jkits.2018.13.3.001
