On the value of relative flow data

Traffic flow can be described using three dimensions, i.e., space x, time t and cumulative flow N. This study considers estimating the cumulative flow over space and time, i.e., N(x,t), using relative flow data collected by stationary and moving observers. Stationary observers, e.g., loop-detectors, can observe flow at fixed position over...

Macroscopic traffic state estimation using relative flows from stationary and moving observers

This article presents a procedure to estimate the macroscopic traffic state in a pre-defined space-time mesh using relative flow data collected by stationary and moving observers. The procedure consist of two consecutive and independent processes: (1) estimate point observations of the cumulative vehicle number in space-time, i.e., N(x, t),...

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...