Incorporating the information and uncertainties of loop-detector and floating car data in freeway traffic state estimation

Traffic state estimation is an important element in traffic management systems. In this research a freeway traffic state estimation methodology is proposed which allows to incorporate the information and uncertainties of heterogeneous data-types, namely loop-detector data and floating car data. The loop-detector data provides estimation of speed...