Lancaster EPrints

An unscented Kalman filter for freeway traffic estimation

Mihaylova, L. and Boel, R. and Hegiy, A. (2006) An unscented Kalman filter for freeway traffic estimation. In: Proceedings of the 11th IFAC Symposium on Control in Transportation Systems :. IFAC, pp. 31-36.

PDF (IFAC_symp.pdf)
Download (491Kb) | Preview


    This paper addresses the problem of freeway tra±c flow estimation. The freeway is considered as a network of components representing different freeway stretches called segments. The evolution of the traffic in a segment is modelled as a dynamic stochastic system, influenced by states of neighbour segments. Measurements are received only at boundaries between some segments and averaged within regular time intervals. An Unscented Kalman filter is developed and its performance is compared with a particle filter both for synthetic data and for real traffc data. The intended application is to supply traffc control systems with the estimated traffc state.

    Item Type: Contribution in Book/Report/Proceedings
    Uncontrolled Keywords: macroscopic traffic models ; unscented Kalman filter ; particle filter
    Subjects: ?? qa75 ??
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 852
    Deposited By: Dr L Mihaylov
    Deposited On: 21 Jan 2008 14:39
    Refereed?: No
    Published?: Published
    Last Modified: 22 Sep 2018 01:24
    Identification Number:

    Actions (login required)

    View Item