Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings - eScholarship

By Nikolaos Geroliminis, Carlos F. Daganzo. 2007

1,524 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/526ee89a0b4f765a4a4b08d6319041352c462fdf

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In Transportation

Citations in the corpus

Macroscopic Fundamental Diagrams for Freeway Networks: Theory and Observation (2011, positive): “Empirical studies support this proposal (6).”
Hysteresis Phenomena of a Macroscopic Fundamental Diagram in Freeway Networks (2011, background): “Nevertheless, it was recently observed from empirical data in Downtown Yokohama (Geroliminis and Daganzo, 2008) that by aggregating the highly scattered plots of flow vs. density from individual loop detectors, the scatter almost disappears and a well-defined Macroscopic Fundamental Diagram (MFD)…”
The spatial variability of vehicle densities as determinant of urban network capacity (2010, neutral): “…by aggregating the highly scattered plots of flow versus density from individual fixed detectors, it was empirically found for the city of Yokohama that a macroscopic fundamental diagram (MFD) with low scattering exists, which links space–mean flow and density (Geroliminis & Daganzo 2008).”
Derivation of a fundamental diagram for urban traffic flow (2008, methodology): “[ 29 ]. He extracted these from original data of GPS-equipped taxis by Prof.”
Congestion in the bathtub (2015, background): “A recent range of contributions have shown that such a fundamental diagram of traffic flow also applies at the level of an urban neighborhood meeting certain conditions (Daganzo, 2007; Geroliminis and Daganzo, 2008; Daganzo et al., 2011).”
Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control (2015, background): “Previous works Daganzo and Geroliminis (2008), Geroliminis and Boyacı (2012) and Zhang et al. (2013) have shown that traffic-responsive signal control strategies and different signal settings can change the shape of the MFD and the critical accumulations.”
Three new models for the flow–density relationship: derivation and testing for freeway and urban data (2012, background): “Finally, the existence of a fundamental diagram for networks has also been pointed out by several researchers (Daganzo and Geroliminis 2008 , Geroliminis and Daganzo 2008 , Ji et al .”
Perimeter and boundary flow control in multi-reservoir heterogeneous networks (2013, background): “The idea of an MFD with an optimum (critical) accumulation ~ n at which capacity is reached (maximum circulating flow or throughput) belongs to Godfrey (1969), but the empirical verification of its existence with dynamic features is recent (Geroliminis and Daganzo, 2008).”
Urban traffic signal control with connected and automated vehicles: A survey (2019, background): “Traffic flow models such as the macroscopic fundamental diagrams (MFD; see Daganzo et al., 2012; Geroliminis and Daganzo, 2008; Yang et al., 2017) may be of great promise for modeling the macroscopic traffic.”
The dynamics of urban traffic congestion and the price of parking (2013, background): “…congestion technology is a means to represent city-wide congestion affecting all traffic and the bottleneck does not necessarily correspond to any single place in a city (Daganzo, 2007; Geroliminis and Daganzo, 2008). at a positive rate during parking is always lower for later arrival times.”
Exploring the Impact of Homogeneity of Traffic Measurements on the Existence of Macroscopic Fundamental Diagrams (2009, methodology): “• Homogeneity in the type of selected roads: analysis of signalized and unsignalized roads was made separately in their 2007 paper (2), and the highway part of the Yokohama network was not considered in their 2008 paper (1).”
Morning Commute with Competing Modes and Distributed Demand: User Equilibrium, System Optimum, and Pricing (2012, background): “As explained in Daganzo (2007) and experimentally verified in Geroliminis and Daganzo (2008), a network can often be macroscopically modeled as a single bottleneck with state-dependent capacity.”
Analytical and grid-free solutions to the Lighthill-Whitham-Richards traffic flow model (2011, methodology): “The conservation of vehicles on the highway is written as follows (Lighthill and Whitham, 1956; Richards, 1956; Garavello and Piccoli, 2006):”
Robust Constrained Control of Uncertain Macroscopic Fundamental Diagram Networks (2015, methodology): “The MFD shapes for both regions, in all examples, are assumed to be the same and consistent with the MFD observed in Yokohama, refer to Geroliminis and Daganzo (2008).”
An analytical approximation for the macropscopic fundamental diagram of urban traffic (2008, methodology): “For more information about the study sites and the experiments see Geroliminis and Daganzo (2007, 2008).”