A. Hegyi, D. Girimonte, R. Babuska, and B. De Schutter, "A comparison of filter configurations for freeway traffic state estimation," Proceedings of the 2006 IEEE Intelligent Transportation Systems Conference (ITSC 2006), Toronto, Canada, pp. 1029-1034, Sept. 2006.
We present a comparison for several filter configurations for freeway traffic state estimation. Since the environmental conditions on a freeway may change over time (e.g., changing weather conditions), parameter estimation is also considered. We compare the performance of the extended Kalman filter and the unscented Kalman filter for state estimation, parameter estimation, joint estimation and dual estimation. Furthermore, the performance is evaluated for different detector configurations.
The main conclusions from the simulations are that (1) the performance of the extended Kalman filter and the unscented Kalman filter is comparable, (2) joint filtering performs significantly better than dual filtering, and (3) a larger number of detectors results in better state estimation, but has no significant influence on the parameter estimation error.