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Identifying reproducible macroscopic traffic patterns in a year-long data set
(2019)2019 TRB Annual Meeting OnlineThe macroscopic Fundamental Diagram (MFD) provides a novel perspective on urban traffic that facilitates new policies and strategies to cope with recurring congestion. The MFD is assumed to be well-defined and reproducible, but, so far, no long-term empirical evidence for this shape assumption exists. In this paper, the authors use an extensive one-year traffic data set from Lucerne, recent advances in modeling the MFD shape as well as ...Conference Paper -
Modeling multi-modal traffic in cities using the 3D Macroscopic Fundamental Diagram
(2019)2019 TRB Annual Meeting OnlineConference Paper -
Approximative network partitioning for MFDs from stationary sensor data
(2019)2019 TRB Annual Meeting OnlineConference Paper -
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The MFD and the built environment
(2017)Travel behavior in urban areas has been widely analyzed from the demand side, while the extent to which the infrastructure imposes constraints on such travel behavior and leads to delays and congestion has almost never been studied. For car-based transportation, the recently developed theory of the macroscopic fundamental diagram (MFD) describes the relationship between the accumulation of vehicles and their trip ending rate as a function ...Conference Paper -
Empirical Macroscopic Fundamental Diagrams
(2017)TRB 96th Annual Meeting Compendium of PapersThe 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 ...Conference Paper -
Introducing a re-sampling methodology for the estimation of empirical macroscopic fundamental diagrams
(2018)2018 TRB Annual Meeting OnlineConference Paper -
Approximative network partitioning for MFDs from stationary sensor data
(2018)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 ...Conference Paper -
Network features and MFD parameters
(2017)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 ...Conference Paper -
A multimodal network interaction model for the macroscopic fundamental diagram (MFD)
(2019)Conference Paper