… a new Kalman observation with its … Kalman filter. In Section 4, we discuss the problem of
road selection and we present the formulation of the problem in the framework of Belief Theory. …

… This adapts their models to take advantage of travel times and traffic counts collected by
tracking Bluetooth-equipped vehicles and the use of other conventional detection technologies. …

… Rail transit passenger flows are different from link traffic volumes; that is, there are no
upstream or downstream links. However, when forecasting the station, some other stations near it …

… This study proposes a queue length estimation method based on the combination of
Kalman Filtering and shockwave theory with low-penetration mobile sensor data at signalized …

… this paper, is the recursive linear Kalman filter for state variable estimation discussed
elsewhere (11, 12), adapted to exploit the travel times and traffic counts collected, respectively, by …

… Ashok and Ben-Akiva 12) applied a Kalman filter to estimate OD flows from link traffic counts
on a long freeway corridor. Travel time of specific OD pairs was used for the estimations, …

… of the Derivative-free nonlinear Kalman Filter. The proposed filter consists of the Kalman
Filter recursion applied on the transformed state-space model of the highway traffic. Moreover, it …

… A scalar Kalman filter is applied to traffic density estimation in [19]. Present detector data in
a 500-… Finally, estimation is updated with Kalman filter as it will be used in the current study. …

… INTRODUCTION RAPIDLY increasing traffic volumes and the resulting vehicular … Similarly,
the kalman gain computation step which takes O(Q2) for a standard kalman filter takes only O(…

… Comprehensive Kalman filters (KFs) are implemented to deal with inaccuracy in the different
identified possible states an automobile could be found in, which are identified as constant …