Understanding Complex Systems
DOI: 10.1007/978-3-540-75561-6_10
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Cited by 2 publications
(10 citation statements)
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“…2: (Colour on-line) Black circles and dotted line: empirical average value of v (1) . Red squares (confidence interval in continuous lines): empirical average value of v (2) . Dashed blue line and triangles: average value of v (2) obtained by a numerical integration of the 2-person group system using for each ρ the value of η that provides the best agreement with the empirical velocity in the ρ → 0 limit.…”
Section: Calibration Methodmentioning
confidence: 99%
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“…2: (Colour on-line) Black circles and dotted line: empirical average value of v (1) . Red squares (confidence interval in continuous lines): empirical average value of v (2) . Dashed blue line and triangles: average value of v (2) obtained by a numerical integration of the 2-person group system using for each ρ the value of η that provides the best agreement with the empirical velocity in the ρ → 0 limit.…”
Section: Calibration Methodmentioning
confidence: 99%
“…The parameter η weakly affects the pedestrian position probability distribution, but it has an important effect on the difference between the velocity of individuals and 2-person groups, v (1) − v (2) [14]. By numerically solving 9 the 2-person Langevin equation ( 3) with the addition of the ρ-dependent term, eq.…”
Section: Calibration Methodmentioning
confidence: 99%
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“…The Roe decomposition scheme is used because it is capable of capturing abrupt changes or discontinuities in the data variables and providing accurate numerical solutions for traffic flow models [2]. Roe's scheme is employed purposely to transform the proposed model ( 11) into quasi-linear form and linearize locally by approximating the Jacobian matrix, B(U ) with Roe averages and in every time step, the procedure is repeated [18]. The resulting system can then approximate speed found from the eigenvalues of the averaged Jacobian matrix, as described below [18].…”
Section: Roe Decompositionmentioning
confidence: 99%
“…Roe's scheme is employed purposely to transform the proposed model ( 11) into quasi-linear form and linearize locally by approximating the Jacobian matrix, B(U ) with Roe averages and in every time step, the procedure is repeated [18]. The resulting system can then approximate speed found from the eigenvalues of the averaged Jacobian matrix, as described below [18].…”
Section: Roe Decompositionmentioning
confidence: 99%