99 citations · 702 across the 46 of their papers we have counts for
9 papers · 1 filter
Stationary states in two lane traffic: insights from kinetic theory
A. Sai Venkata Ramana, Saif Eddin Jabari
Kinetics of dilute heterogeneous traffic on a two lane road is formulated in the framework of the Ben-Naim Krapivsky model and stationary state properties are analytically derived…
Power laws and phase transitions in heterogenous car following with reaction times
A. Sai Venkata Ramana, Saif Eddin Jabari
We study the effect of reaction times on the kinetics of relaxation to stationary states and on congestion transitions in heterogeneous traffic. Heterogeneity is modeled as quenche…
Traffic flow with multiple quenched disorders
A. Sai Venkata Ramana, Saif Eddin Jabari
We study heterogeneous traffic dynamics by introducing quenched disorders in all the parameters of Newell's car-following model. Specifically, we consider randomness in the free-fl…
Traffic Data Imputation using Deep Convolutional Neural Networks
Ouafa Benkraouda, Bilal Thonnam Thodi, Hwasoo Yeo +2
We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolutional encoder-decoder based architecture, w…
On Equilibrium Metropolis Simulations on Self-Organized Urban Street Networks
Jerome Benoit, Saif Eddin Jabari
Urban street networks of unplanned or self-organized cities typically exhibit astonishing scale-free patterns. This scale-freeness can be shown, within the maximum entropy formalis…
On the Metropolis Algorithm for Urban Street Networks
Jerome Benoit, Saif Eddin Jabari
The complexity of urban street networks is well accepted to reside in the information space where roads map to nodes and junctions to links between nodes. Assuming that information…
On the Perturbation of Self-Organized Urban Street Networks
Jerome Benoit, Saif Eddin Jabari
We investigate urban street networks as a whole within the frameworks of information physics and statistical physics. Urban street networks are envisaged as evolving social systems…
Structure Entropy, Self-Organization, and Power Laws in Urban Street Networks: Evidence for Alexander's Ideas
Jerome Benoit, Saif Eddin Jabari
Easy and intuitive navigability is of central importance in cities. The actual scale-free networking of urban street networks in their topological space, where navigation informati…
On the Statistics of Urban Street Networks
Jerome Benoit, Saif Eddin Jabari
We investigate urban street networks as a whole within the frameworks of information physics and statistical physics. Urban street networks are envisaged as evolving social systems…