… real-time queue length estimation model using Kalman Filter. The method is designed to be
used primarily on urban networks with signalized intersections. The main contribution of the …

… Abstract—In this work we develop a kalman filtering approach for the problem of traffic state
estimation in urban networks. The proposed approach employs concepts developed in the …

… There are 25 bus stops and 14 signalized intersections in this route. This road stretch is a
typical representation of heterogeneous, lane-less Indian traffic conditions with varying …

… To determine the complexity of Kalman filtering with the averaging localization method, we
notice … of the proposed averaging RSS is more than that of Kalman filtering with averaging. …

… In this research, an algorithm is developed to measure these traffic parameters at signalized
intersections with traffic count data collected with traditional traffic sensors. Control delay …

… a Kalman filter to reduce the impact of measurement errors on the final solution. Three
categories of vehicles are considered in this paper to represent different stages of this technology: …

… extract moving vehicles from target lanes, and the Kalman Filter (KF) algorithm is utilized to
acquire … and predicting driver behavior at signalized intersection are described in this paper. …

… To fully leverage trajectory data, the Kalman filter is used as … The Kalman filter proposed by
Kalman in 1960 [18] provides … The main function of the Kalman filter is to provide an estimate …

… The unscented Kalman filter is a variation of the Kalman filter based on the unscented …
results for signalized intersections, corresponding results for round intersections are missing…

… In this research, we evaluated the stacking distances at signalized intersections using a …
We specifically focused on signalized intersections as they provide a random sample set of …