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Papers by Hossein yektamoghadam

The efficiency of roundabout intersections plays a vital role in traffic flow. With the increase ... more The efficiency of roundabout intersections plays a vital role in traffic flow. With the increase of autonomous vehicles on roads in the future, vehicle-to-infrastructure (V2I) communications would improve traffic efficiency in roundabout intersections. In this paper, we investigate the throughput of a triple-lane roundabout intersection that has no traffic light to see which lane has the minimum waiting time. To do this, we utilize a decision-making algorithm that first determines which lane is the best (has the least waiting time) in each iteration. Then, the algorithm investigates the convergence of the best lane. Finally, the scenarios of a working day and a holiday that have different traffic flows are compared. The results show that there is no preference among lanes in the holiday as we expected. But in the working day, the algorithm converges to one of the lanes.

Energies, Feb 5, 2022

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Computers & Industrial Engineering, Dec 1, 2021

Abstract Global warming and climate change caused by human activities are some of the major envir... more Abstract Global warming and climate change caused by human activities are some of the major environmental problems that the most important cause of this phenomenon is greenhouse gases, especially CO2. Due to the many consequences of this global phenomenon in the last two decades, the attention of many scientists and policymakers in the world has been drawn to this issue. Thus, they set various regulations to reduce greenhouse gases and carbon footprints. On the other hand, one of the major causes of increasing carbon emissions is electricity generation power plants; as a result, the most important solution is to reduce CO2 gas generation in these power plants. Nowadays, generation expansion planning (GEP) is an important and inevitable issue for power system designers due to energy consumption growth. Besides, finding a solution in order to satisfy the increasing electricity demand in the future years and considering carbon reduction as a new constraint to this problem is a challenging subject. This paper modelled the GEP problem with a game theory approach by considering government regulations, including carbon tax and subsidy. Therefore, four possible strategies have been assumed to achieve the goal of carbon reduction. We have considered Iran as our case study, and the results have been analyzed and discussed. Eventually, a comprehensive sensitivity analysis is carried out based on the carbon tax and government subsidy.

Energies

In the present climate, due to the cost of investments, pollutants of fossil fuel, and global war... more In the present climate, due to the cost of investments, pollutants of fossil fuel, and global warming, it seems rational to accept numerous potential benefits of optimal generation expansion planning. Generation expansion planning by regarding these goals and providing the best plan for the future of the power plants reinforces the idea that plants are capable of generating electricity in environmentally friendly circumstances, particularly by reducing greenhouse gas production. This paper has applied a teaching–learning-based optimization algorithm to provide an optimal strategy for power plants and the proposed algorithm has been compared with other optimization methods. Then the game theory approach is implemented to make a competitive situation among power plants. A combined algorithm has been developed to reach the Nash equilibrium point. Moreover, the government role has been considered in order to reduce carbon emission and achieve the green earth policies. Three scenarios ha...

2022 8th International Conference on Control, Instrumentation and Automation (ICCIA)

2021 9th RSI International Conference on Robotics and Mechatronics (ICRoM), 2021

2020 28th Iranian Conference on Electrical Engineering (ICEE), 2020

Homogenous network regions have been given a relationship between network vehicle density and net... more Homogenous network regions have been given a relationship between network vehicle density and network space-mean flow by a macroscopic fundamental diagram (MFD) which is used on the urban traffic. This point has been achieved from empirical data analysis of cities. We formulate the optimal perimeter control for three-region urban cities by using MFDs. Then each of these regions is modeled as a simple system. Model predictive control (MPC) is a method to find a solution for the optimal perimeter control problem. It is obvious that there are low interactions between regions, but in this paper, for simplifying the system models and equations these interactions are eliminated. Besides the MPC form, we used a PID controller for these systems to show differences between the two methods. PID controller cannot track systems carefully but it can get us an average of the flow of each system but in the MPC form tracking is more accurate and comparison results illustrate which the performances of the model predictive control (MPC) are finer than the PID controller. The results which are discussed in this paper can be expanded to improve the efficiency of the hierarchical control strategies for heterogeneously crowded cities.

Background and Objective: Human health is an issue that always been a priority for scientists, do... more Background and Objective: Human health is an issue that always been a priority for scientists, doctors, medical engineers, and others. A Wireless Body Area Network (WBAN) connects independent nodes (e.g. sensors and actuators) that are situated in the clothes, on the body, or under the skin of a person. In the 21st century, advent the technology in different aspects of human life caused WBAN has a special value in future medical technology. Energy harvesting from the ambient or human body for self-independent from the battery or power supply is an important issue in WBAN. Photovoltaic energy harvesting (PVEH), piezoelectric energy harvesting (PEH), RF energy harvesting (RFEH), and thermal electric energy harvesting (TEH) are some techniques used for energy harvesting in WBAN. Fault detection and diagnosis is an important problem in engineering. Engineers and researchers are always trying to find better ways to identify, detection, and control the fault in different systems. Methods:...

Computers & Industrial Engineering, 2021

2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)

Despite the ubiquity and the prominence of device replacement decisions, the process is not alway... more Despite the ubiquity and the prominence of device replacement decisions, the process is not always as simple as it seems. Especially as data-driven approaches are becoming more vital and intelligent systems have recently outperformed the classical techniques. The objective of this paper is to propose a solution to provide the set of decisions for replacing a whole asset. To accomplish this, first, we translate the deterioration level into the monetary scale via a data-driven approach. This is done by modeling the aging effects via fault occurrences; then utilizing fault isolation techniques for the determination. Finally, the set of decisions can be made by the optimization procedure.In the end, to implement the proposed solution, an actual fault isolation data set is reproduced to form a pertinent data set for a fictitious firm. Then an ANN is exploited for the fault isolation, and a game-theoretic approach comprising GA is utilized for the decision-making part.