A platform for research: civil engineering, architecture and urbanism
Speed Estimation from Single Loop Data Using an Unscented Particle Filter
Abstract: This article presents a hybrid method, the Unscented Particle Filter (UPF), for traffic flow speed estimation using single loop outputs. The Kalman filters used in past speed estimation studies employ a Gaussian assumption that is hardly satisfied. The hybrid method that combines a parametric filter (Unscented Kalman Filter) and a nonparametric filter (Particle Filter) is thus proposed to overcome the limitations of the existing methods. To illustrate the advantage of the proposed approach, two data sets collected from field detectors along with a simulated data set are utilized for performance evaluation and comparison with the Extended Kalman Filter and the Unscented Kalman Filter. It is found that the proposed method outperforms the evaluated Kalman filter methods. The UPF method produces accurate speed estimation even for congested flow conditions in which many other methods have significant accuracy problems.
Speed Estimation from Single Loop Data Using an Unscented Particle Filter
Abstract: This article presents a hybrid method, the Unscented Particle Filter (UPF), for traffic flow speed estimation using single loop outputs. The Kalman filters used in past speed estimation studies employ a Gaussian assumption that is hardly satisfied. The hybrid method that combines a parametric filter (Unscented Kalman Filter) and a nonparametric filter (Particle Filter) is thus proposed to overcome the limitations of the existing methods. To illustrate the advantage of the proposed approach, two data sets collected from field detectors along with a simulated data set are utilized for performance evaluation and comparison with the Extended Kalman Filter and the Unscented Kalman Filter. It is found that the proposed method outperforms the evaluated Kalman filter methods. The UPF method produces accurate speed estimation even for congested flow conditions in which many other methods have significant accuracy problems.
Speed Estimation from Single Loop Data Using an Unscented Particle Filter
Ye, Zhirui (author) / Zhang, Yunlong (author)
Computer‐Aided Civil and Infrastructure Engineering ; 25 ; 494-503
2010-10-01
10 pages
Article (Journal)
Electronic Resource
English
Speed Estimation from Single Loop Data Using an Unscented Particle Filter
Online Contents | 2010
|Unscented Kalman Filter Method for Speed Estimation Using Single Loop Detector Data
British Library Conference Proceedings | 2006
|Unscented Kalman Filter Method for Speed Estimation Using Single Loop Detector Data
British Library Online Contents | 2006
|