Dynamical capacity drop in a nonlinear stochastic traffic model
Carregando...
Data
2017-11-01
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Elsevier B.V.
Tipo
Artigo
Direito de acesso
Acesso aberto
Resumo
In this work, we show that the inverse-lambda shape in the fundamental diagram of traffic flow can be produced dynamically by a simple nonlinear mesoscopic model with stochastic noises. The proposed model is based on the gas-kinetic theory of the traffic system. In our approach, the nonlinearity leads to the coexistence of different traffic states. The scattering of the data is thus attributed to the noise terms introduced in the stochastic differential equations and the transition among the various traffic states. Most importantly, the observed inverse-lambda shape and the associated sudden jump of physical quantities arise due to the effect of stochastic noises on the stability of the system. The model parameters are calibrated, and a qualitative agreement is obtained between the data and the numerical simulations. (C) 2017 Elsevier Ltd. All rights reserved.
Descrição
Palavras-chave
Idioma
Inglês
Como citar
Transportation Research Part B-methodological. Oxford: Pergamon-elsevier Science Ltd, v. 105, p. 328-339, 2017.