Design of a Dual-Modal Signal Progression Model for Urban Arterials Accommodating Heavy Transit and Passenger Car Flows

2019 ◽  
Vol 2673 (10) ◽  
pp. 1-13
Author(s):  
Yao Cheng ◽  
Hyeonmi Kim ◽  
Gang-Len Chang
Keyword(s):  
Passenger Car ◽  
Progression Model ◽  
Geometric Conditions ◽  
Start Up ◽  
Proposed Model ◽  
Critical Issues ◽  
Urban Arterials ◽  
The Cost ◽  
Measures Of Effectiveness ◽  
Optimal Signal

Despite extensive studies aiming at contending with congestion on urban arterials, an effective model to produce optimal signal progression for an arterial experiencing heavy bus and passenger car flows remains unavailable. In response to such needs, this study presents a bandwidth maximization model that can offer concurrent progression to both modes or to a selected mode(s) in a selected direction(s), based on traffic volume, bus ratio, and geometric conditions. To capture the operational features of both modes, the proposed model has effectively taken into account all critical issues that may result in mutual impedance between them, which include the potential blockage by passenger car queues of roadside bus stops, the excessive start-up delays caused by transit vehicles queueing at the intersection stop line, and the reduced travel lanes for progressing flows caused by buses dwelling at roadside stations with limited storage capacity. In addition, by weighting the bandwidths with the passenger volumes by mode and by direction, the proposed model is capable of offering progression only to the mode(s) and the direction(s) for which it is justified from the perspective of maximizing the benefits to all arterial users. The numerical analysis results have confirmed the effectiveness of the proposed model in producing concurrent progression bands for both modes under various realistic constraints and volume levels. Further evaluation with extensive simulation experiments has also demonstrated that the benefits offered by the proposed model will not be at the cost of other measures of effectiveness.

scholarly journals An Optimized Mathematical Model for Items Supplies Planning of a Logistic System

2016 ◽  
Vol 10 (10) ◽  
pp. 133
Author(s):  
Mohammad Ali Nasiri Khalili ◽  
Mostafa Kafaei Razavi ◽  
Morteza Kafaee Razavi
Keyword(s):  
Mathematical Model ◽  
Mixed Integer ◽  
Logistics System ◽  
Proposed Model ◽  
Multiple Objective Decision Making ◽  
System Requirements ◽  
Purchasing Logistics ◽  
The Cost ◽  
The Mathematical Model ◽  
First Time

Items supplies planning of a logistic system is one of the major issue in operations research. In this article the aim is to determine how much of each item per month from each supplier logistics system requirements must be provided. To do this, a novel multi objective mixed integer programming mathematical model is offered for the first time. Since in logistics system, delivery on time is very important, the first objective is minimization of time in delivery on time costs (including lack and maintenance costs) and the cost of purchasing logistics system. The second objective function is minimization of the transportation supplier costs. Solving the mathematical model shows how to use the Multiple Objective Decision Making (MODM) can provide the ensuring policy and transportation logistics needed items. This model is solved with CPLEX and computational results show the effectiveness of the proposed model.

Mathematical Modeling and Analysis of Covid-19 Infection spreads in India with Restricted Optimal Treatment on Disease Incidence

BIOMATH ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 2106147
Author(s):  
Debkumar Pal ◽  
D Ghosh ◽  
P K Santra ◽  
G S Mahapatra
Keyword(s):  
Mathematical Modeling ◽  
Objective Function ◽  
Reproduction Number ◽  
Disease Incidence ◽  
Treatment Control ◽  
Modeling And Analysis ◽  
Proposed Model ◽  
The Cost ◽  
Disease Free ◽  
The Basic Reproduction Number

This paper presents the current situation and how to minimize its effect in India through a mathematical model of infectious Coronavirus disease (COVID-19). This model consists of six compartments to population classes consisting of susceptible, exposed, home quarantined, government quarantined, infected individuals in treatment, and recovered class. The basic reproduction number is calculated, and the stabilities of the proposed model at the disease-free equilibrium and endemic equilibrium are observed. The next crucial treatment control of the Covid-19 epidemic model is presented in India's situation. An objective function is considered by incorporating the optimal infected individuals and the cost of necessary treatment. Finally, optimal control is achieved that minimizes our anticipated objective function. Numerical observations are presented utilizing MATLAB software to demonstrate the consistency of present-day representation from a realistic standpoint.

scholarly journals A Scorecard to Detect Financial Leverage Profitability

2018 ◽  
Vol 13 (3) ◽  
pp. 244
Author(s):  
Laura Broccardo ◽  
Luisa Tibiletti ◽  
Pertti Vilpas
Keyword(s):  
Net Present Value ◽  
Economic Value ◽  
Weighted Average ◽  
Cost Of Debt ◽  
Corporate Management ◽  
External Financing ◽  
Present Value ◽  
Financial Decisions ◽  
Proposed Model ◽  
The Cost

This study investigates how balancing internal and external financing sources can create economic value. We set a financial scorecard, consisting of the Cost of Debt (COD), Return on Investment (ROI), and the Cost of Equity (COE). We show that COE should be a cap for COD and a floor for ROI in order to increase the Net Present Value at Weighted Average Cost of Capital and the Adjusted Present Value of the levered investment. However, leverage should be carefully monitored if COD and ROI go off the grid. Situations where leverage has the opposite effect on value creation and the Equity Internal Rate of Return are also discussed. Illustrative examples are given. The proposed model aims to help corporate management in financial decisions.

The Finnish Climate Change Act: Architecture, Functions, and Challenges

Climate Law ◽  
2014 ◽  
Vol 4 (3-4) ◽  
pp. 301-326 ◽  
Author(s):  
Ismo Pölönen
Keyword(s):  
Climate Change ◽  
Climate Policy ◽  
Policy Making ◽  
Dynamic Features ◽  
Policy Choices ◽  
Legal Implications ◽  
Proposed Model ◽  
Term Energy ◽  
Public Scrutiny ◽  
The Cost

The article examines the key features and functions of the proposed Finnish Climate Change Act (fcca). It also analyses the legal implications of the Act and the qualities and factors which may limit its effectiveness. The paper argues that, despite its weak legal implications, the fcca would provide the regulatory preconditions for higher-quality climate policy-making in Finland, and it has the capacity to play an important role in national climate policy. The fcca would deliver regulatory foundations for systematic and integrated climate policy-making, also enabling wide public scrutiny. The proposed model leaves room for manifold climate-policy choices in varying societal and economical contexts. The cost of dynamic features is the relalow predictability in terms of sectorial paths on emission reductions. Another relevant challenge relates to the intended preparation of overlapping mid-term energy and climate plans with instruments of the fcca.

scholarly journals Cross-Platform Analysis and Development of Online Catering Platform (Kunyahku)

2021 ◽  
Vol 7 (2) ◽  
pp. 79-89
Author(s):  
Indra Swarna ◽  
James Purnama ◽  
Randy Anthony
Keyword(s):  
Coming Out ◽  
Development Time ◽  
Development Cycle ◽  
Start Up ◽  
Code Base ◽  
Cross Platform ◽  
Multiple Platform ◽  
Suitable Framework ◽  
Faster Development ◽  
The Cost

Kunyahku is an online catering platform that provides catalogs of menus from local caterer near the user and become the distributor that will take the order and deliver them. In developing an application, the most important aspect for small start-up companies is to have a development stack that can deliver the app into multiple platform by using a single code base to reduce the cost of developers, improve efficiency and reduce the time to develop the application itself. To provide the necessity of building an application for Kunyahku, this paper is aimed to find the most suitable cross platform framework for developing the Kunyahku application. This research focuses on comparison between existing popular cross-platform and proving the suitable one to be used in development cycle in the case of Kunyahku requirements. Sets of test and comparison were conducted in order to compare the most suitable cross platform between React Native and Flutter such as render test and comparing each advantage coming out from using each of the cross-platform.After all the requirements are gathered and then the most suitable framework will be chosen which is Flutter. Performance analysis and the benefits of using Flutter framework are elaborated and thus proving it is the most suitable development stack to be used in Kunyahku case and the development time can be reduced since it is a cross-platform technology that output the application into three different platform rather than managing separate platform for each different one. Testing shows that flutter also met all the requirements thus proving flutter address the problems of scalability and faster development compared to developing each native platform one by one.

Proposed model of all optical reversible and irreversible modules on a single photonic circuit

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ritvik Shukla ◽  
Salini Bose ◽  
Shubham Shukla ◽  
Kamal Kishor Upadhyay ◽  
Nikhlesh Kumar Mishra ◽  
...  
Keyword(s):  
Extinction Ratio ◽  
Data Communication ◽  
Electrical Signal ◽  
Optical Channel ◽  
Nonlinear Properties ◽  
Proposed Model ◽  
Photonic Circuit ◽  
The Cost ◽  
Audio Video ◽  
Logic Unit

AbstractIn the current era of data communication everyone deals with the huge amount of data in form of text, audio, video and different other formats in which everyone want a secure and higher bandwidth channel to transmit and receive so, only the optical channel provides the solution of above said problem. The only difficulty with the existing model that the data from electrical domain first converted in form of light (optical domain) at the transmission end while after receiving the data at the receiver end it will be further converted in form of electrical signal for extracting the message. This type of conversion from one domain to other gives the energy loss. In the current research article, we proposed a model of optical processor which transmit and receive the data without conversion which provides an energy efficient optical technology. By adding reversibility, heat bender can be further reduced. In this manuscript, an arithmetical logic unit has been created, a photonic reversible complete subtractor and an irregular logic portal. SOA-MZI structure is the basic component of the architecture. The method is mainly carried out by the semiconductor Amplifier, using nonlinear properties such as cross-gain modulation and cross-phase modulation. The efficiency deciding factor for the whole system is 21.23 and 53.27 dB in the average extinction ratio. The cost of the arithmetic logic unit optically constructed is 9.

Understanding the Barriers to Offshore Green-Hydrogen Production

2021 ◽  
Vol 73 (10) ◽  
pp. 31-34
Author(s):  
Trent Jacobs
Keyword(s):  
Hydrogen Production ◽  
Oil And Gas ◽  
Single Atom ◽  
Carbon Footprints ◽  
Start Up ◽  
Technology Group ◽  
Abundant Supply ◽  
The Cost ◽  
Oil And Gas Companies ◽  
Green Label

The stage is set to begin making “green” hydrogen from the world’s abundant supply of seawater. But whether this niche-within-a-niche can stand on its own and become a competitive energy source remains uncertain. Today, only about 1% of man-made hydrogen is considered to be green, and not a single atom of it is produced offshore. In the offshore concept, the green label will be earned by splitting the hydrogen out of desalinated seawater with electrolyzers that run on renewable wind energy. This represents an opportunity for oil and gas companies to not just lower their carbon footprints, but to leverage billions of dollars’ worth of existing offshore infrastructure. Their platforms can host the electrolyzers. Their pipelines can transfer the product to shore. They may even be able to power their offshore facilities using the hydrogen produced at sea. Offshore producers should also have no problem finding a market. PriceWaterhouseCoopers said in a report from last year that green-hydrogen exports could be worth $300 billion annually by 2050, supporting some 400,000 jobs globally. However, the first set of offshore pilots are still in planning mode. It will take a few more years to assess the results once they start up. That means we may not know if offshore hydrogen is commercially viable until decade’s end. Some of the biggest barriers that must be overcome were highlighted by a panel of leading hydrogen experts at the recent Offshore Technology Conference (OTC) in Houston. Green Hydrogen in the Red “The major hurdle is still the cost,” explained René Peters. “The cost of hydrogen production with electrolysis is still extremely high compared to gray- and blue-hydrogen production.” Peters is the business director at the Dutch technology group TNO which is one of a dozen partners trying to launch PosHYdon, the pilot for offshore hydrogen production. Startup is expected by early 2023 on a normally unmanned oil and gas platform operated by independent oil and gas company Neptune Energy. Peters’ comments on cost were not relegated to the offshore aspect since all green hydrogen is made onshore today. In terms of tipping point for profitability, these are the relevant benchmarks.

Smart Grid-Integrated Electric Vehicle Charging Infrastructure

2022 ◽  
pp. 1-24
Author(s):  
Isa S. Qamber ◽  
Mohamed Y. Alhamad
Keyword(s):  
Electric Vehicle ◽  
Fossil Fuels ◽  
Electrical Energy ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Proposed Model ◽  
Rotary Motors ◽  
The Cost ◽  
Efficiency And Reliability

The movements for any type of electric vehicle (EV) can be powered by wheels or driven by rotary motors. EVs derive their power from various sources, including fossil fuels. In the long term, reducing the cost of electrically powered vehicles (EDV) is seen as an essential ingredient to increase consumer acceptance. In addition, it aims to reduce the weight and volume of EDV. Moreover, the focus is on improving the performance, efficiency, and reliability of the EDV. The development of innovative modules is important when the acceleration of production and marketing needs to be improved. Consumers are looking for the production and transmission of electrical energy. This contributes to a greener environment. One of the most important parts of an EV is its battery. A proposed model presented in this chapter considers several parameters: solar radiation (PV panels), EV backup battery, and main charger. The model allows energy storage to be developed efficiently.

scholarly journals Optimal Planning for the Development of Power System in Respect to Distributed Generations Based on the Binary Dragonfly Algorithm

2020 ◽  
Vol 10 (14) ◽  
pp. 4795
Author(s):  
Mohammad Hossein Kakueinejad ◽  
Azim Heydari ◽  
Mostafa Askari ◽  
Farshid Keynia
Keyword(s):  
Distribution Network ◽  
Planning Problem ◽  
Distributed Generations ◽  
Dragonfly Algorithm ◽  
Expansion Planning ◽  
Optimal Network ◽  
Proposed Model ◽  
Solution Methods ◽  
Planning Methods ◽  
The Cost

With the increasing number of population and the rising demand for electricity, providing safe and secure energy to consumers is getting more and more important. Adding dispersed products to the distribution network is one of the key factors in achieving this goal. However, factors such as the amount of investment and the return on the investment on one side, and the power grid conditions, such as loss rates, voltage profiles, reliability, and maintenance costs, on the other hand, make it more vital to provide optimal annual planning methods concerning network development. Accordingly, in this paper, a multilevel method is presented for optimal network power expansion planning based on the binary dragonfly optimization algorithm, taking into account the distributed generation. The proposed objective function involves the minimization of the cost of investment, operation, repair, and the cost of reliability for the development of the network. The effectiveness of the proposed model to solve the multiyear network expansion planning problem is illustrated by applying them on the 33-bus distribution network and comparing the acquired results with the results of other solution methods such as GA, PSO, and TS.

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