Exploring the Impact of Homogeneity of Traffic Measurements on the Existence of Macroscopic Fundamental Diagrams

By Christine Buisson, Cyril Ladier. 2009

452 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/e6b675148a05b7e6deaedee891067943e2d6b42f

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Citations in the corpus

Macroscopic Fundamental Diagrams for Freeway Networks: Theory and Observation (2011, background): “Motivated by these findings, researchers have explored MFDs for freeway networks (7, 8) and for networks that include both freeways and surface streets (9, 10).”
Macroscopic urban dynamics: Analytical and numerical comparisons of existing models (2017, background): “Buisson and Ladier, 2009; Geroliminis and Sun, 2011), theoretical (e.g. Gayah and Daganzo, 2011) and simulation (e.g. Mahmassani et al., 2013) studies suggested that clockwise hysteresis loops are more likely to occur in the production-MFD. These authors gave useful insights on heterogeneity in traf”
Robust Constrained Control of Uncertain Macroscopic Fundamental Diagram Networks (2015, background): “Empirical and simulation studies have provided observation and theoretical elements for the existence of well-defined MFDs for homogeneous urban networks with small variance of link densities Godfrey (1969); Daganzo (2007); Geroliminis and Daganzo (2008); Geroliminis and Sun (2011b); Buisson and Lad”
Stochastic Approximations for the Macroscopic Fundamental Diagram of Urban Networks (2015, methodology): “Existing methods to estimate the MFD analytically for simple homogeneous arterial corridors can be categorized into three types: (i) empirical (Geroliminis and Daganzo, 2007, 2008; Wu et al., 2011; Saberi and Mahmassani, 2012; Geroliminis and Sun, 2011; Geroliminis and Ji, 2011; Cassidy et al., 2011”
Exploring Properties of Networkwide Flow–Density Relations in a Freeway Network (2012, methodology): “The studies by Buisson and Ladier (1) and Geroliminis and Sun (9, 10) used unweighted values of average network occupancy and flow in their analysis based on the finding of Geroliminis and Daganzo (2) for the city of Yokohama, Japan, that the weighted and unweighted values of average network occupan”
Generalized bathtub model of network trip flows (2019, background): “However, empirically, it has been shown that links and traffic conditions have to be homogeneous for such a speed-density relation to be well-defined (Buisson and Ladier, 2009; Cassidy et al., 2011).”
Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control (2015, background): “…proposed by Godfrey (1969) and observed with dynamic features in congested urban network in Yokohama by Geroliminis and Daganzo (2008), and investigated using empirical or simulated data by Buisson and Ladier (2009), Ji et al. (2010), Mazloumian et al. (2010), Zhang et al. (2013) and others.”
Perimeter and boundary flow control in multi-reservoir heterogeneous networks (2013, background): “Other investigations of empirical and simulated studies for network level traffic patterns can be found in Buisson and Ladier (2009), Aboudolas et al. (2010), Ji et al. (2010), Gayah and Daganzo (2011a), Wu et al. (2011), Mahmassani et al. (2013a), Mahmassani et al. (2013), Zhang et al. (2013) and…”
On the spatial partitioning of urban transportation networks (2012, background): “…of congestion may exhibit traffic states that are well below the upper bound of an MFD and much too scattered to line along an MFD. Analysis of real data from a medium-sized French city (Buisson and Ladier, 2009) showed that heterogeneity has a strong impact on the shape/scatter of an MFD.”
Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach (2013, background): “Property 2 is important for control purposes, because efficient active traffic management schemes can be developed without a detailed knowledge of origin–destination (OD) tables.”
The spatial variability of vehicle densities as determinant of urban network capacity (2010, methodology): “To address such questions, it is common to use computer simulations of urban traffic flows (Axhausen & Gärling 1992; Biham et al. 1992; Nagel & Schreckenberg 1992; Schadschneider & Schrenkenberg 1993; Daganzo 1994; Herrmann 1996; Klar & Wegener 1998; Charypar & Nagel 2005; Herty et al. 2006; Bretti…”