The macroscopic fundamental diagram, relating average flows and densities in an urban network, has been analyzed in some empirical studies and many simulations. It has been shown to be an efficient tool for traffic management and control or the estimation of travel times in a network. However, empirical studies remain scarce and are usually based on one single data source, such as loop detector data (LDD) or floating car data (FCD). In ...

Macroscopic fundamental diagrams (MFD) are typically estimated for sub-regions in cities, where the zoning conventionally follows the directive of homogeneity in the road network and traffic. Existing network partitioning algorithms fail to work for MFD estimation with stationary sensor data as their link speed and link density measurement are biased by the location of the sensor. However, in this paper, we present an approach for ...

While there is a well-studied body of literature on the relationship between the built environment and travel behavior, the relationship between the built environment and the performance of urban road networks is less understood. Macroscopic traffic models, such as the macroscopic fundamental diagram (MFD), model the response of the transport system to travel demand. Many macroscopic models try to establish a functional relationship between ...

This paper evaluates Zurich’s perimeter control with loop detector data from the entire city. We compare the speed indices and congestion levels within the controlled area and its surrounding areas using the concept of the macroscopic fundamental diagram (MFD). At times of heavy congestion, vehicles are prevented by two layers of control to enter the perimeter of the inner city. With the introduction of the concept of the MFD and the ...