scholarly journals Dynamic Model for estimating the Macroscopic Fundamental Diagram**This research was supported in part by the Ruch collaboration grant through the Jacobs Technion-Cornell Institute. The first author thanks the U.S.-Israel Binational Science Foundation and the Technion Zeff fellowship. The second author acknowledges the fundings of the Glasberg-Klein, the NY Metropolitan Research Foundations, the Israeli Environmental and Health Foundation and The Technion Center of Excellence in Exposure Science for their partial financial support to this research.

2016 ◽  
Vol 49 (3) ◽  
pp. 297-302 ◽  
Author(s):  
Hoai-Nam Nguyen ◽  
Barak Fishbain ◽  
Eilyan Bitar ◽  
David Mahalel ◽  
Per-Olof Gutman
2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Chih-Cheng Hsu ◽  
Yu-Chiun Chiou

Previous cellular automata (CA) models have been developed for simulating driver behaviors in response to traffic signal control. However, driver behaviors during traffic signal change intervals, including cross/stop decision and speed adjustment, have not yet been studied. Based on this, this paper aims to propose a change interval CA model for replicating driver’s perception and response to amber light based on stopping probability and speed adjusting functions. The proposed model has been validated by exemplified and field cases. To investigate the applicability of the proposed model, macroscopic and microscopic analyses are conducted. Although the macroscopic fundamental diagram analysis reveals only a small decrease in maximum traffic flow rates with considering driver behaviors in change intervals, in the microscopic analysis, the proposed model can present reasonable vehicular trajectories and deceleration rates during slowdown process.


2021 ◽  
Author(s):  
Auguste Gires ◽  
Ioulia Tchiguirinskaia ◽  
Daniel Schertzer

<p>Universal Multifractals have been widely used to characterize and simulate geophysical fields extremely variable over a wide range of scales such as rainfall. Despite strong limitations, notably its non-stationnarity, discrete cascades are often used to simulate such fields. Recently, blunt cascades have been introduced in 1D and 2D to cope with this issue while remaining in the simple framework of discrete cascades. It basically consists in geometrically interpolating over moving windows the multiplicative increments at each cascade steps.</p><p> </p><p>In this paper, we first suggest an extension of this blunt cascades to space-time processes. Multifractal expected behaviour is theoretically established and numerically confirmed. In a second step, a methodology to address the common issue of guessing the missing half of a field is developed using this framework. It basically consists in reconstructing the increments of the known portion of the field, and then stochastically simulating the ones for the new portion, while ensuring the blunting the increments on the portion joining the two parts of the fields. The approach is tested with time series, maps and in a space-time framework. Initial tests with rainfall data are presented.</p><p> </p><p>Authors acknowledge the RW-Turb project (supported by the French National Research Agency - ANR-19-CE05-0022), for partial financial support.</p>


Author(s):  
David F. Ericson

Ericson traces the efforts of the American Colonization Society to gain the financial support of the U.S. government and the public-private partnership that ensued. He maintains that this partnership was not only one of the first of its kind on the federal level, but that it was also the most enduring prior to the Civil War. He concludes that without federal support, the society probably would never have founded Liberia and that the support was crucial to the colony’s survival.


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