On the spatial partitioning of urban transportation networks
By Yuxuan Ji, Nikolaos Geroliminis. 2012
427 citations recorded by the source corpus.
Subfields: Building and Construction, Control and Systems Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/0e64a01e2caacf78e83afc5a6c33e078c19249b0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Jack Haddad
- Nikolaos Geroliminis
- M. Ramezani
- Konstantinos Aboudolas
- Mohsen Ramezani Ghalenoei
- W. Jin
In Control and Systems Engineering
- Jack Haddad
- M. Ramezani
- Nikolaos Geroliminis
- Konstantinos Aboudolas
- Mohsen Ramezani Ghalenoei
- Jorge A. Laval
- Hani S. Mahmassani
- Meead Saberi
In Transportation
- Jack Haddad
- M. Ramezani
- Nikolaos Geroliminis
- Konstantinos Aboudolas
- Mohsen Ramezani Ghalenoei
- Hani S. Mahmassani
- Meead Saberi
- Carlos F. Daganzo
Citations in the corpus
- Robust Constrained Control of Uncertain Macroscopic Fundamental Diagram Networks (2015, background): “Partitioning such a network into homogenous regions can result in well-defined shape MFD with low scatter, as shown in Ji and Geroliminis (2012); Ji et al. (2014).”
- Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach (2013, background): “in [12] showed that urban networks can be partitioned in a way that decreases the degree of heterogeneity within clusters.”
- Perimeter and boundary flow control in multi-reservoir heterogeneous networks (2013, background): “…of partitioning are to obtain (i) small variance of link densities within a reservoir, which increases the network flow for the same average density and (ii) spatial compactness of each reservoir which makes feasible the application of perimeter and boundary flow control (Ji and Geroliminis, 2012).”
- Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control (2015, methodology): “Recent work Ji and Geroliminis (2012) created clustering algorithms for heterogeneous transportation networks with an objective to obtain small variance of link densities within a cluster.”