2013
DOI: 10.3934/nhm.2013.8.985
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Structured first order conservation models for pedestrian dynamics

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Cited by 15 publications
(9 citation statements)
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“…In this sense, we refer to some important contributions related to flux limiters, 22,40 while dependence of pedestrians' speed on the local density is an important way to control overcrowding. 12,13,24,39 We assume that the maximal reachable dimensionless velocity modulus v m = v m (伪) depends linearly on the quality of the environment, in such a way that v m (0) = 0 -any movement is hindered -and v m (1) = 1 -the maximal speed can be reached. The dependence of the velocity modulus on the local density proposed in this paper is motivated by the fundamental diagrams for crowd flow, critically analyzed in Ref.…”
Section: Modeling the Velocity Modulusmentioning
confidence: 99%
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“…In this sense, we refer to some important contributions related to flux limiters, 22,40 while dependence of pedestrians' speed on the local density is an important way to control overcrowding. 12,13,24,39 We assume that the maximal reachable dimensionless velocity modulus v m = v m (伪) depends linearly on the quality of the environment, in such a way that v m (0) = 0 -any movement is hindered -and v m (1) = 1 -the maximal speed can be reached. The dependence of the velocity modulus on the local density proposed in this paper is motivated by the fundamental diagrams for crowd flow, critically analyzed in Ref.…”
Section: Modeling the Velocity Modulusmentioning
confidence: 99%
“…15, while Ref. 24 offers an interesting comparison between them. In the middle of these two scales, the kinetic theory approach was initiated in Ref.…”
Section: Introductionmentioning
confidence: 97%
“…Pedestrian dynamics simulations support successful crowd management by helping organizers of public events to foresee and prevent dangerous situations. Macroscopic pedestrian dynamic models like the Hartmann & Sivers mode (HARTMANN and VON SIVERS, 2013) are most suitable for simulating large numbers of people . The same macroscopic model can be applied to simulate the motion of cars.…”
Section: Hartmann-sivers Modelmentioning
confidence: 99%
“…Therefore, we introduce an interface which links human and vehicular flow. The movement behavior of cars and pedestrians is based on the macroscopic Hartmann and Sivers model (HARTMANN and VON SIVERS, 2013) and is calculated on a discrete network. Roads for cars and walking paths for pedestrians are represented by the edges of this network.…”
Section: The Hybrid Approachmentioning
confidence: 99%
“…Models on the macroscopic scale ensure fast simulations but have a low spatial resolution. These approaches reduce the simulation scenario to a graph-network and describe pedestrians as cumulated and flowing densities [13,14]. In contrast, mesoscopic approaches model pedestrians as singular and discrete simulation objects.…”
Section: Related Workmentioning
confidence: 99%