Occupant Evacuation Based on Cellular Automata Involving Repulsion

2014 ◽  
Vol 556-562 ◽  
pp. 4061-4064
Author(s):  
Xue Ling Jiang ◽  
Chao Yun Long ◽  
Shui Jie Qin ◽  
Li Ping Wang ◽  
Jiang Hui Dong

The dynamic parameter model based on cellular automata was not taken into account interaction between pedestrian and environment,it resulted in quite different from that of in real life.So a new model was proposed by taking into account one of the interactions:repulsion.In the present work, evacuation involving repulsion problem was studied in the room with single exit.The expanded model based on dynamic parameter model is introduced by using the quantitative of repulsion.The model could be used to explore the different degree of panic through repulsion.The corresponding simulations of pedestrian evacuation with repulsion were carried out. It extends the constraint where the original model was applied. The improved model is more accordance with actual circumstance than the original dynamic parameters model.The improved model is not only expected to model evacuations in detail but also has high efficiency.

2014 ◽  
Vol 543-547 ◽  
pp. 1876-1879
Author(s):  
Xue Ling Jiang ◽  
Chao Yun Long ◽  
Shui Jie Qin ◽  
Li Ping Wang ◽  
Jiang Hui Dong

An expanded dynamic parameter model is introduced based on cellular automata. In this model friction is modeled quantitatively. The dynamic parameters including direction parameter and empty parameter are formulated to simplify tactically the process of making decisions for pedestrian evacuation. The pedestrian moving rule is modified by bringing in the conception of friction under high density, corresponding simulations of pedestrian evacuation is carried out. The improved model considers the impact of interactions among pedestrians on the evacuation process. Therefore, it is more accordance with actual circumstance than the original dynamic parameters model.


2013 ◽  
Vol 416-417 ◽  
pp. 704-710 ◽  
Author(s):  
Wei Xu ◽  
Wen Wu Yang

The flux-switching permanent magnet machine (FSPMM) has got great attention by academic researchers during the past couple of years for its merits of strong mechanical robustness, high efficiency, strong thermal dissipation ability, etc. However, for its inherited double salient structure in both stator and rotor, the FSPMM suffers from severe torque and flux ripples at different rotor positions for its variable magnetic resistance, which cannot be solved completely only by electromagnetic optimal design. In order to increase the drive performance of FSPMM, such as dynamic response and stable torque smoothness, an improved model based predictive torque control (MPTC) algorithm is proposed. By using the cost function modulation strategy, the torque and flux ripples of FSPMM are reduced evidently, accompanying with the minimized converter switching frequency and power loss. Comprehensive simulation investigations are finally carried out to validate relevant theoretical analysis.


2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Qian Xiao ◽  
Jiayang Li

Crowd evacuation under emergency is an important task of world public security research and practice. In order to describe the microemotional contagion of evacuation individuals, a cellular automata-based evacuation model of emotional contagion crowd based on the classical SIS model of infectious diseases is proposed in this paper. Firstly, the state of evacuation individual is defined as “emotional susceptible” and “emotional infective.” Then, a dynamic model considering emotional contagion is established with cellular automata. Based on the models of static floor field and dynamic floor field, the emotion updating rules and state updating rules are constructed. The influence of perception domain radius on pedestrian evacuation process is analyzed through experiments. The conclusion can provide evacuation guidance for evacuation individuals. The comparative experiment results show that the improved model can reflect the movement characteristics of evacuation individuals effectively. The evacuation efficiency of the whole system is also effectively improved due to the consideration of emotional contagion and evacuation strategy.


2014 ◽  
Vol 915-916 ◽  
pp. 459-463
Author(s):  
He Quan Zhang

In order to deal with the impact on traffic flow of the rule, we compare the influence factors of traffic flow (passing, etc.) into viscous resistance of fluid mechanics, and establish a traffic model based on fluid mechanics. First, in heavy and light traffic, we respectively use this model to simulate the actual segment of the road and find that when the traffic is heavy, the rule hinder the further increase in traffic. For this reason, we make further improvements to the model to obtain a fluid traffic model based on no passing and find that the improved model makes traffic flow increase significantly. Then, the improved model is applied to the light traffic, we find there are no significant changes in traffic flow .In this regard we propose a new rule: when the traffic is light, passing is allowed, but when the traffic is heavy, passing is not allowed.


Author(s):  
Matti Linjama

Energy-efficient motion control of hydraulic actuators is a challenging task. Throttle-free solutions have the potential for high efficiency. The main throttle-free approaches are pump-controlled systems, transformer-based solutions, and digital hydraulic solutions, such as switching transformers, multi-chamber cylinder and multi-pressure systems. This paper presents a novel solution based on a so-called digital hydraulic power management system (DHPMS). The DHPMS is freely rotating and a hydraulic accumulator is used for energy storage. In contrast to existing approaches, each actuator has its own DHPMS and a small accumulator to locally handle the power peaks. Only an average amount of power is needed from the hydraulic grid, radically reducing the size of the supply pump and the hydraulic piping and hosing. Pump flow is only 12.5% of the peak flow of the actuator in the case studied. Control of this type of system is challenging, and the model-based approach is used. The controller uses a simplified model and functionality is verified by using a detailed simulation model of the system. The results show that the approach is feasible but is demanding on the control valves. The system delay is also relatively long, which reduces the control performance in high-end systems. Nevertheless, this approach has potential in mobile machines, for example.


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