MULTILANE TRAFFIC DENSITY ESTIMATION AND TRACKING

Mikail YILAN; Mehmet Kemal ÖZDEMİR

Makale detayları

MULTILANE TRAFFIC DENSITY ESTIMATION AND TRACKING

Yazarlar:

Mikail YILAN | Mehmet Kemal ÖZDEMİR

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

IU-Journal of Electrical & Electronics Engineering 2017 Vol.17 Issue 1, pp.3217-3226

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000777891

Sıklık:

İki Yıllık

eISSN:

2619-9831

Özet:

 

As the number of vehicles in roads increases, information of traffic density becomes crucial to municipalities for making better decisions about road management and to the environment for reduced carbon emission. Here, the problem of traffic density estimation is addressed when there is continuous influx of vehicle data. First the traffic density is modeled by the clusters of the speed groups that are centered after Kernel Density Estimation technique is implemented for the probability density function of the speed data. Then, empirical cumulative distribution function of data is found by Kolmogorov-Smirnov Test. A peak detection algorithm is used to estimate speed centers of the clusters. Since the estimation model has linear and non-linear components, the estimation of variance values and kernel weights are found by a nonlinear Least Square approach with separation of parameters property. Finally, the tracking of former and latter estimations of a road is calculated by using Scalar Kalman Filtering with scalar state - scalar observation generality level. For all example data sets, the minimum mean square error of kernel weights is found to be less than 0.002 while error of mean values is found to be less than 0.261.

Makale detayları

MULTILANE TRAFFIC DENSITY ESTIMATION AND TRACKING

Yazarlar: Mikail YILAN | Mehmet Kemal ÖZDEMİR

Yayıncı: İstanbul University-Cerrahpasa

Ana Başlıklar: Uygulamalı fizik

Dergi: IU-Journal of Electrical & Electronics Engineering 2017 Vol.17 Issue 1, pp.3217-3226

Belge Tipi: Makale

Yayın Tarihi: 3/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000777891

Sıklık: İki Yıllık

eISSN: 2619-9831

Sayı

Yazarlar:

Mikail YILAN | Mehmet Kemal ÖZDEMİR

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

IU-Journal of Electrical & Electronics Engineering 2017 Vol.17 Issue 1, pp.3217-3226

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000777891

Sıklık:

İki Yıllık

eISSN:

2619-9831