mixed flows
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Author(s):  
Zhonghua Yang ◽  
Zhonghao Mao ◽  
Guanghua Guan ◽  
Wei Gao

2020 ◽  
Vol 18 (1) ◽  
pp. 34-45
Author(s):  
Irina-Carmen ANDREI ◽  
◽  
Gabriela STROE ◽  
Mihaela-Luminița COSTEA ◽  
◽  
...  

2020 ◽  
Vol 5 ◽  
Author(s):  
Toshiyuki Kaneda ◽  
Masahiro Shohmitsu ◽  
Wataru Sasabe ◽  
Yuanyuan Liu

Since the 1990s, complex systems research has been developing agent simulations to explain the phenomena observed in urban spaces. In recent years, agent-based modelling has often been employed to successfully simulate pedestrian behaviour. In such studies, explanations using pedestrian counter flow phases have appeared sporadically. Most state-of-the-art models, however, do not generally consider mobile agents other than pedestrians or counter flows in at least two directions. In this paper, we consider agents such as pedestrians, vehicles, wheelchairs, bicycles and so on in urban pedestrian space (UPS), which we call urban mobile agents (UMAs). The aim of this research is to develop a simulation platform to support urban simulation research. The models of rule-based UMAs that we have been developing are used to analyze the micro-meso behaviours of the mixed flows in UPS. The content of this class of agent includes the pedestrian agent as per the simplified agent simulation of pedestrian flow (sASPF) rules as well as the vehicle agent and bicycle agent in the UPS, including a wheelchair agent in the coming research. Using these models, we explore the following approaches: (a) theoretical analyses of phase transitions such as laminar flow formation or blockade of pedestrian counter flows, with clarification of the relationship between the degree of pedestrian global density and the bias of the diagonal stepping probability, which is the right or left selection probability of avoidance behaviour; (b) the implementation of obstacle avoidance rules in the sASPF pedestrian agent model, and their comparison with published evacuation experiment results, so as to evaluate the performance of the obstacle avoidance function; (c) the development of a vehicle agent model to simulate pedestrian-vehicle mixed flow at a crossroads assuming a disaster scenario; (d) the development of a bicycle agent model by extending sASPF rules; and (e) consideration of a conceptual framework for interaction fields representing heterogeneous agent mixed flows, including vehicle, bicycle, pedestrian and wheelchair agents.


2020 ◽  
Author(s):  
Catalin Nae ◽  
Irina Carmen Andrei ◽  
Gabriela Liliana Stroe ◽  
Sorin Berbente

2019 ◽  
Vol 27 (6) ◽  
pp. 2458-2471
Author(s):  
Han Zhang ◽  
Haijun Geng ◽  
Yahui Li ◽  
Xia Yin ◽  
Xingang Shi ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1979 ◽  
Author(s):  
Dechao Hu ◽  
Songping Li ◽  
Shiming Yao ◽  
Zhongwu Jin

A semi–implicit numerical model with a linear solver is proposed for the free-surface and pressurized mixed flows in hydraulic systems. It solves the two flow regimes within a unified formulation, and is much simpler than existing similar models for mixed flows. Using a local linearization and an Eulerian–Lagrangian method, the new model only needs to solve a tridiagonal linear system (arising from velocity-pressure coupling) and is free of iterations. The model is tested using various types of mixed flows, where the simulation results agree with analytical solutions, experiment data and the results reported by former researchers. Sensitivity studies of grid scales and time steps are both performed, where a common grid scale provides grid-independent results and a common time step provides time-step-independent results. Moreover, the model is revealed to achieve stable and accurate simulations at large time steps for which the CFL is greater than 1. In simulations of a challenging case (mixed flows characterized by frequent flow-regime conversions and a closed pipe with wide-top cross-sections), an artificial slot (A-slot) technique is proposed to cope with possible instabilities related to the discontinuous main-diagonal coefficients of the linear system. In this test, a slot-width sensitivity study is also performed, and the suitable slot-width ratio (ε) for the linear solver is suggested to be 0.05–0.1.


2019 ◽  
Vol 99 (6) ◽  
Author(s):  
Charles D. Young ◽  
June R. Qian ◽  
Michael Marvin ◽  
Charles E. Sing

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