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agent-based simulation Systems for Emergency Management

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International Journal of Automation and computing 2016年第2期13卷 89-98页

作者： Zhi-Chao Song Yuan-Zheng Ge Hong Duan Xiao-Gang Qiu College of Information System and Management National University of Defense Technology Hunan 410073 China Aeronautical University of China People Liberation Airforce Jilin 130012 China

Emergencies, which are very difficult to be forecasted, would always bring about huge harm to people. Therefore, to find ways to reduce such devastating effects, researches on emergency management have turned to be paramount. Nowadays, the rapid development of computer technology has supplied a new and effective idea for the researches of emergency management, namely that the researches can be done in computers by performing simulation experiments according to the artificial societies, computational experiments, parallel execution （ACP） approach. Guided by this approach, this paper has proposed one agent-based prototype simulation system to research emergency management. Firstly, structure of the simulation system oriented to emergency management was analyzed and designed. Then a simulation system oriented to public health emergency management was constructed to study the transmission of infectious diseases. Finally, several experiments were carried out based on the system, with several significant conclusions having also been obtained.

关键词： agent-based simulation emergency management artificial societies computational experiments parallel execution (ACP) simulation system public health transmission of infectious diseases.

agent-based simulation for symmetric electricity market considering price-based demand response

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Journal of Modern Power Systems and Clean Energy 2017年第5期5卷 810-819页

作者： Ziqing JIANG Qian AI Department of Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

With the development of electricity market mechanism and advanced metering infrastructure(AMI),demand response has become an important alternative solution to improving power system reliability and effi-ciency. In this paper, the agent-based modelling and simulation method is applied to explore the impact of symmetric market mechanism and demand response on electricity market. The models of market participants are established according to their behaviors. Consumers’ response characteristics under time-of-use(TOU) mechanism are also taken into account. The level of clearing price and market power are analyzed and compared under symmetric and asymmetric market mechanisms. The results indicate that the symmetric mechanism could effectively lower market prices and avoid ***, TOU could apparently flatten the overall demand curve by enabling customers to adjust their load profiles,which also helps to reduce the price.

关键词： agent-based simulation Demand response Electricity market Trading mechanism

agent-based simulation of Rumor Propagation on Social Network based on Active Immune Mechanism

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Journal of Systems Science and Information 2017年第6期8卷 571-584页

作者： Jianhong CHEN Qinghua SONG Zhiyong ZHOU School of Resources and Safety Engineering Central South UniversityChangsha 410083China

To simulate the rumor propagation process on online social network during emergency, a new rumor propagation model was built based on active immune mechanism. The rumor propagation mechanisms were analyzed and corresponding parameters were defined. BA scale free network and NW small world network that can be used for representing the online social network structure were constructed and their characteristics were compared. agent-based simulations were conducted on both networks and results show that BA scale free network is more conductive to spreading rumors and it can facilitate the rumor refutation process at the same time. Rumors paid attention to by more people is likely to spread quicker and broader but for which the rumor refutation process will be more effective. The model provides a useful tool for understanding and predicting the rumor propagation process on online social network during emergency, providing useful instructions for rumor propagation intervention.

关键词： rumor emergency online social network agent-based simulation active immune

Assessing the impacts of traffic calming at network level:A multimodal agent-based simulation

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第1期11卷 41-54页

作者： Eftychia Zargiannaki Panagiotis G.Tzouras Eleni Antoniou Christos Karolemeas Konstantinos Kepaptsoglou School of Rural Surveying and Geoinformatics EngineeringNational Technical University of AthensZografou 15780Greece

The reduction of speed limits in urban roads through traffic calming schemes intends to ensure safer traffic conditions among road users by reducing the probability related to the occurrence of severe *** it from a different perspective,traffic calming measures can potentially resolve congestion problems at the same time by lowering the overall accessibility and attractiveness of private cars in urban *** study proposes a new methodological approach to explore and assess the direct impacts of traffic calming in the transport system efficiency of a metropolitan *** multi-agent transport simulation(MATSim)and Open-Berlin scenario are utilized to perform this simulation *** developing a new external tool,the free flow speed and road capacity of each network link is updated based on new speed limits and different compliance rates,which are defined per road hierarchy *** test scenarios that are formulated present radical conditions,where the speed limit in most urban roads of Berlin drops to 30 km/h or even 15 km/*** findings of this study show a considerably high increase in trips,passenger hours,and passenger kilometers using public transport modes,when traffic calming links are introduced,the reserve change is observed in private cars *** the speed limits are decreased in inner urban roads in most of the scenarios,the decrease of average travel speed of private cars is not so high as it was ***,private cars are used for longer distances in all test *** drivers seem to use already existed motorways and private road to *** simulations,driver compliance to the new speed limits seems to be a determinant factor that is strongly influenced by the design interventions applied in a traffic calming area.

关键词： agent-based simulation Traffic calming Impact assessment Urban road network

STUDIES ON HORIZONTAL COMPETITION AMONG HOMOGENOUS RETAILERS THROUGH agent-based simulation

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Systems Science and Systems Engineering 2004年第4期13卷 490-505页

作者： MingXIE JianCHEN ResearchCenterforContemporaryManagement TsinghuaUniversitySchoolofEconomicsandManagementTsinghuaUniversityBeijing100084China

This paper adopts agent-based simulation to study the horizontal competition among homogenous price-setting retailers in a one-to-many supply chain (a supply chain consists of one supplier and multiple retailers). We model the supplier and retailers as agents, and design their behavioral rules respectively. The results show that although the agents learn individually based on their own experiences, the system converges asymptotically to near Nash equilibrium steady states. When analyzing the results, we first discuss the properties of these steady states. Then based on these properties, we analyze the effects of the retailers’ horizontal competition on the retail prices, retailers’ profits and supplier’s revenue.

关键词： Supply chain horizontal competition agent-based simulation Nash equilibrium

agent-based simulation on the Effectiveness of Price Limits

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Agent-based Simulation on the Effectiveness of Price Limits

agent-based simulation of Collective Behavior and QSIM-based Modeling of Catastrophe in Behavior

ICSSSM'04国际会议

作者： Baojun GAO Huiyu XUAN Lu LI School of Management Xi’an Jiaotong University Xi’an Shann Xi Province 710049 China

＜正＞ The aim of this paper is to study the effectiveness of price limits in financial markets. We construct an agent-based simulation model of a limit order-driven market, in which traders are according to technical or fundamental trading rules to determine their orders. The dynamics of the model mimic stylized facts such as the emergence of bubbles, excess volatility, fat tails for returns or volatility clustering quite well. Using this model as a laboratory, we find that effectiveness of price limits have heavily rely on the agents’ trading strategies. The more traders lend themselves to trend following behavior, the higher the volatility of the market is and the worse price limits work.

关键词： agent-based simulation Order-driven markets Price limits Technical or fundamental trading rules

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Agent-based Simulation of Collective Behavior and QSIM-based...

Coupling agent based simulation with Dynamic Networks Analysis to Study the Emergence of Mutual Knowledge as a Percolation Phenomenon

第18届中国系统仿真技术及其应用学术年会

作者： Hu Bin Song Yi Huazhong University of Science and Technology

Cooperative and defective behavior depends on economic rules（i.e.,game theory） and follows psychological laws（e.g.,Prospect theory and other social psychology）.In this paper,we proposed a two-stage approach to probe into the process of individual behavior decision:non-rational and Prospect theory embedded rational ***,to capture the underlying mechanism of polarization and reversal of collective behavior in the smart environment,modeling of catastrophe in collective behavior is designed by integrating cusp catastrophe model and QSIM（i.e.,a qualitative simulation method）.Verifications and validations show the modeling results are suitable for explaining the dynamics of collective behavior in the smart environment.

关键词： Collective Behavior agent-based simulation Qualitative simulation Catastrophe Model

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Journal of Systems Science & Complexity 2016年第5期29卷 1358-1381页

作者： DUGDALE Julie BELLAMINE BEN SAOUD Narjes ZOUAI Fedia PAVARD Bernard Universite Grenoble Alpes LIG Grenoble France University of Agder Norway Universite de La Manouba Ecole Nationale des Sciences de l'Informatique Laboratoire RIADI Tunisia Universite P. Sabatier CNRS IRIT Toulouse France

The emergence of mutual knowledge is a major cognitive mechanism for the robustness of complex socio-technical systems. It has been extensively studied from an ethnomethodological point of view and empirically reproduced by multi-agent simulations. Whilst such simulations have been used to design real work settings the underlying theoretical grounding for the process is vague. The aim of this paper is to investigate whether the emergence of mutual knowledge(MK) in a group of colocated individuals can be explained as a percolation phenomenon. The followed methodology consists in coupling agent-based simulation with dynamic networks analysis to study information propagation phenomena: After using an agent-based simulation the authors generated and then analyzed its traces as networks where agents met and exchanged knowledge. Deep analysis of the resulting networks clearly shows that the emergence of MK is comparable to a percolation process. The authors specifically focus on how changes at the microscopic level in the proposed agent based simulator affect percolation and robustness. These results therefore provide theoretical basis for the analysis of social organizations.

关键词： agent-based simulation complex network dynamics emergence mutual knowledge per-colation social networks.

agent-based dynamic simulation of an electricity market with multilateral bidding

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International Journal of Modeling, simulation, and Scientific Computing 2019年第3期10卷 15-27页

作者： Jiahui Wu Jidong Wang Yuanyuan Yan Key Laboratory of the Ministry of Education on Smart Power Grids Tianjin University Tianjin 300072P.R.China Department of Automation Tsinghua University Beijing 100084P.R.China

The electricity market is a complex system in which participants interact and compete with each other,which makes description of them with mathematical models *** solve these difficulties,computer simulation has become one of the main methods for studying electricity market *** to establish a reasonable electricity market has always been a major research issue in the electric power industry,for which a key point is the bidding ***-based modeling and a simulation(ABMS)method are used in this paper to study the imperfect competitive electricity *** agent-based simulation method of multilateral bargaining game theory in the dynamics of the power bidding market is presented,and a multi-agent power market bidding dynamics simulation model based on game theory is *** dynamic bidding game behavior among the government,power grid companies,power plant companies,and consumer parties is simulated in the market,and the simulation method is realized by Anylogic ***,an agent-based four-party competitive dynamic game simulation in the electricity market is implemented,which provides a theoretical reference for further understanding resource optimization problems in the electricity market.

关键词： agent-based simulation electricity market game theory