List of Articles مدل سازی عامل بنیان

• Open Access Article
  • Abstract Page
  • Full-Text
  
  1 - Estimating the amount of fuel consumption and air pollution caused by the traffic of buses rapid transit using agent-based modeling
  rahman noormohammadi seyed mohammadali khatami firoozabadi akbar alamtabriz Reza Ehtesham Rasi amir daneshvar
  10.30495/jest.2023.72315.5817
  Background and Objective: The increased traffic has been followed by many problems in metropolitans, the key of which is air pollution and excessive fuel consumption. Paying attention to public transportation, particularly the bus rapid transit (BRT) system is one of th More

  Background and Objective: The increased traffic has been followed by many problems in metropolitans, the key of which is air pollution and excessive fuel consumption. Paying attention to public transportation, particularly the bus rapid transit (BRT) system is one of the measures that may be taken, since besides reducing social expenses, it may be very effective in declining air pollution. The main objective of the present research is to study the fuel consumption rate and the emissions rate of various air pollutants including CO2, CH4, and N2O gases in various scenarios of BRT system. Material and Methodology: Since traffic and congestion phenomena are complex and dynamic, it is very difficult and sometimes impossible to model them with common mathematical models. To this end, agent-based technologies, highly compatible with these characteristics, can be utilized. In the current research, BRT system’s performance, the fuel consumption rate, and the amount of air pollutants production are estimated using agent-based modeling. This study emphasizes what changes should be made in effective parameters such as bus speed and bus stop time at stations, as well as bus dispatch timing in order to control fuel consumption and reduce pollution factors. This research uses NetLogo software to code the model and run its simulation and considers three different scenarios in line one of BRT system in Tehran (Iran). Findings: following the analysis and comparison of different scenarios, suggestions are made to decline fuel consumption and air pollutants, such as minor changes in the parameters of bus stop times at stations as well as changes in the dispatch time of buses from the terminal in order to reduce fuel consumption and air pollution rates. The results indicate that one of the improved situations was related to the situation of increasing the bus dispatch time parameter and in the bridge scenario, CO2, CH4, and N2O emissions are 1458.6, 1.122, and 11.781, respectively, in one hour of peak passenger time. Discussion and Conclusion: According to the results, achieving the goal of reducing fuel consumption and air pollution rates is more suitable in the bridge scenario compared to the other two scenarios. Furthermore, if possible, it is suggested to build bridges at intersections with high traffic, or put the smart traffic light system on the agenda. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - A heterogeneous agent pricing model and simulation investor’s behavior on big decline on Tehran stock exchange
  Mehdi Khoshnood Fraydoon Rahnamay Roodposhti
  Today much behavioral finance researches focuses on heterogeneous agent model (HAM) and agent based modeling (ABM). The purposes of this article presentation of heterogeneous agent pricing model at big decline on Tehran stock exchange and simulation investor’s beh More

  Today much behavioral finance researches focuses on heterogeneous agent model (HAM) and agent based modeling (ABM). The purposes of this article presentation of heterogeneous agent pricing model at big decline on Tehran stock exchange and simulation investor’s behavior on agent based modeling framework with emphasis herd behavior and market sentiment. at first three big decline specified with several criterion : average of the share price indices , average value of the stock market turnover , average value of the stock market capitalization .according this three big decline are : 2005 ,2008 and 2013. Samples are the shares of companies that 40 days before and 40 days after was traded .then with MATLAB software code was writhed and simulation done. Finding show that HAM model can estimate investor’s behavior at big decline on Tehran stock exchange. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  3 - The optimization of Investment Beliefs in Tehran Stock Exchange Break Points Based on Heterogeneous Agent Models Framework and Agent Based Modelling with Genetic Algorithm
  mehdi khoshnood Fraydoun Rahnamay Roodposhti Hashem Nikoomaram
  This paper survey beliefs of investor on Tehran stock exchange at three break point date (BPD). at first  three BPD with several criterion : average of the share price indices , average value of the stock market turnover , average value of the stock market capitali More

  This paper survey beliefs of investor on Tehran stock exchange at three break point date (BPD). at first  three BPD with several criterion : average of the share price indices , average value of the stock market turnover , average value of the stock market capitalization .according this three BPD are : the election of Mahmood Ahmadinejad at 2005 , financial crisis at 2008  and the election of Hassan rouhani at 2013 . In addition this paper is base of Brock and Hommes heterogeneous agent model (HAM) framework. Samples are the shares of companies that 40 days before and 40 days after was traded .then with MATLAB software   code was writhed and simulation done. Finding shows that strategy of contrarian trend chaser is the best and we can with genetic algorithm optimize average and standard deviation of coefficient of investment strategy and adaption with real market at break point dates.  Manuscript profile