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  • Search: subject:"flow-density"
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Subject
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Flow–density relationship 2 Ants 1 Cellular automaton 1 Entropie 1 Entropy 1 Equilibrium function 1 Estimation theory 1 Evacuation 1 Flow–density relation 1 Link flow density 1 Macroscopic traffic model 1 Maximum entropy 1 Neural networks 1 Path flow model 1 Pedestrian 1 Schätztheorie 1 Theorie 1 Theory 1 Traffic congestion 1 Traffic flow 1 Traffic model 1 Transport planning 1 Transportzeit 1 Travel time 1 Trip matrix model 1 Verkehrsplanung 1 Verkehrsstau 1 congestion 1 dynamic traffic assignment 1 endogenous switching 1 flow density 1 flow occupancy 1 flow-density 1 latent segmentation 1 model consistency 1 speed density 1 static traffic assignment 1 traffic models 1 travel time functions 1
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Undetermined 6
Type of publication
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Article 6
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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Undetermined 4 English 2
Author
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Bekhor, Shlomo 1 Carey, Malachy 1 Chowdhury, Debashish 1 Dai, Shi-Qiang 1 Dong, Li-Yun 1 El Moudni, Abdellah 1 González Morales, Felipe 1 Grange, Louis de 1 Humphreys, Paul 1 Kazama, Toshiya 1 Kockelman, Kara 1 Lefebvre, Dimitri 1 McHugh, Marie 1 McIvor, Ronan 1 Messai, Nadhir 1 Nishinari, Katsuhiro 1 Ou, Zhong-Hui 1 Schadschneider, Andreas 1 Sugawara, Ken 1 Tao, Ming-De 1 Thomas, Philippe 1 Wu, Zheng 1
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Published in...
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Physica A: Statistical Mechanics and its Applications 2 Mathematics and Computers in Simulation (MATCOM) 1 Networks and spatial economics : a journal of infrastructure modeling and computation 1 Transportation 1 Transportation science : a journal of the Institute for Operations Research and the Management Sciences 1
Source
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RePEc 4 ECONIS (ZBW) 2
Showing 1 - 6 of 6
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Consistency and inconsistency between the fundamental relationships on which different traffic assignment models are based
Carey, Malachy; Humphreys, Paul; McHugh, Marie; McIvor, … - In: Transportation science : a journal of the Institute for … 52 (2018) 6, pp. 1548-1569
Persistent link: https://www.econbiz.de/10011975854
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Path flow and trip matrix estimation using link flow density
Grange, Louis de; González Morales, Felipe; Bekhor, Shlomo - In: Networks and spatial economics : a journal of … 17 (2017) 1, pp. 173-195
Persistent link: https://www.econbiz.de/10011808959
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Modelling of self-driven particles: Foraging ants and pedestrians
Nishinari, Katsuhiro; Sugawara, Ken; Kazama, Toshiya; … - In: Physica A: Statistical Mechanics and its Applications 372 (2006) 1, pp. 132-141
Models for the behavior of ants and pedestrians are studied in a unified way in this paper. Each ant follows pheromone put by preceding ants, hence creating a trail on the ground, while pedestrians also try to follow others in a crowd for efficient and safe walking. These following behaviors are...
Persistent link: https://www.econbiz.de/10010589054
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New equilibrium function of traffic flow
Ou, Zhong-Hui; Dai, Shi-Qiang; Dong, Li-Yun; Wu, Zheng; … - In: Physica A: Statistical Mechanics and its Applications 362 (2006) 2, pp. 525-531
Using nonlinear stability theory in macroscopic traffic flow model, we proposed a new equilibrium function starting from the existing equilibrium functions. The kinematic wave velocity at jam density yielded by this equilibrium function is consistent with the empirical value, and this...
Persistent link: https://www.econbiz.de/10010591225
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Optimal neural networks architectures for the flow–density relationships of traffic models
Messai, Nadhir; Thomas, Philippe; Lefebvre, Dimitri; El … - In: Mathematics and Computers in Simulation (MATCOM) 60 (2002) 3, pp. 401-409
Urban traffic is a complex process that is often described by macroscopic flow models. Anyway, the parameters identification of these models remains a heavy work. This paper proposes neural networks architectures that are inspired from the general form of the well-known traffic model but which...
Persistent link: https://www.econbiz.de/10010749122
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Modeling traffic's flow-density relation: Accommodation of multiple flow regimes and traveler types
Kockelman, Kara - In: Transportation 28 (2001) 4, pp. 363-374
Persistent link: https://www.econbiz.de/10010867483
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