Results 251 to 260 of about 9,158 (291)
A Microscopic CA Model of Traffic Flow?
Cellular automaton (CA) models of traffic flow are typically constructed to reproduce macroscopic features of traffic flow. Here, a few thoughts based on real car-following data are presented that show how to construct a discrete time/discrete space microscopic model of traffic flow.
Wagner, Peter, Rummel, Johannes
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A Ludo Cellular Automata model for microscopic traffic flow
Journal of Computational Science, 2016Abstract The Ludo Cellular Automata (LCA) concept proposed in this paper, harnesses a stochastic approach for vehicle acceleration at microscopic level. Inspired by the traditional Ludo board game, a die roll in LCA coupled with a set of Ludo rules and biases have the potential to improve the stochasticity of traffic flow speed.
Kelvin N S Heeroo +2 more
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One-Dimensional Traffic Flow Problems: A Microscopic Approach
Journal of the Physical Society of Japan, 1997Summary: A microscopic approach to one-dimensional (1D) cellular automaton traffic flow models is presented. Starting from an equation describing the time evolution of the Boolean variable, which describes whether a site is occupied by a car or empty, defined on each site and using a decoupling approximation, an equation relating the average speeds \(v(
B H Wang, P M Hui
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Microscopic and macroscopic models for coupled car traffic and pedestrian flow
Journal of Computational and Applied Mathematics, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
R Borsche
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Microscopic Analysis of Traffic Flow in Inclement Weather
United States. Department of Transportation.
Rakha, Hesham A. +3 more
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Fluid-dynamical and microscopic description of traffic flow: a data-driven comparison
A lot of work has been done to compare traffic flow models with reality; so far, this has been done separately for microscopic as well as for fluid-dynamical models of traffic flow. This paper compares directly the performance of both types of models
Peter Wagner
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Validating microscopic traffic flow models
2006 IEEE Intelligent Transportation Systems Conference, 2006This paper summarizes the results of several projects, which were aiming at comparing different microscopic traffic flow models to reality and with each other. Surprisingly, it was not possible to calibrate model with an error smaller than 15 % (relative root mean square error, RRME) against real data.
Elmar Brockfeld, Peter Wagner 0003
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