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    28 research outputs found

    HetroTraffSim: A Novel Traffic Simulation Software for Heterogeneous Traffic Flow

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    Traffic simulation software (TSS) is employed for planning, designing, and managing road networks. Among existing TSS, only SUMO and HETROSIM can be used for heterogeneous traffic. The objective of this work is to develop new software for heterogeneous traffic simulation which is effective and efficient. This is motivated by the fact that traffic in developing countries is typically heterogeneous. The HetroTraffSim TSS was developed using Unity3D and is based on a recently developed macroscopic traffic flow model. A 360 m section of University Road which is a two-lane arterial road in Peshawar, Pakistan, is used to evaluate the performance using real traffic data. The results obtained show that an increase in density decreases the velocity. Further, HetroTraffSim can be used to characterize and predict heterogeneous traffic behavior

    A Source-Code Maintainability Evaluation Model for Software Products

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    The maintainability index (MI) has been proposed to calculate a single number which expresses the maintainability of a system. This article presents a model for evaluating the maintainability of software products. The model improves the shortcomings observed in the maintainability assessment approaches in the quality assessment models SQuaRE (ISO25000), ISO 9126, Squale and the FCM standard. Its main innovation is to take into account the importance of entities in the system when calculating the maintainability score. This implies that the same type of defect will have a different score depending on the entity presenting it. Seven experts with several years of experience evaluated the model. They confirmed the effectiveness and usability of the model. Then, we compared our model with the Squale maintainability index and the classical maintainability index. The results show no correlation between these models. The implications are that each method gives a slightly different view of maintainability

    Investigating the Influence of Chemical Reaction on MHD-Casson Nanofluid Flow via a Porous Stretching Sheet with Suction/Injection

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    This study aims to investigate the influence of chemical reaction on the flow characteristics of a magnetohydrodynamic (MHD) Casson nanofluid over a porous stretching sheet with suction/injection. The nanofluid (NF) is comprised of a base fluid with suspended nanoparticles (NPs), and the Casson fluid (CF) model is employed to capture the non-Newtonian behavior. The governing partial differential equations (PDEs) for momentum, energy, and NP concentration are derived, incorporating the effects of magnetic field, viscous dissipation, chemical reaction, and porous medium. The resulting system of nonlinear ordinary differential equations (ODEs) is solved numerically using the Runge-Kutta-Fehlberg method together with the shooting process. The effects of various physical parameters, such as magnetic field strength, porous medium, CF parameters, NP volume fraction, suction/injection parameter, and chemical reaction parameter, on the flow characteristics are examined in detail. The results reveal that faster movement is linked to higher Grashof numbers and porous mediums, but weaker magnetic fields slow it down. The suction/injection affect velocity inversely. The Prandtl and Eckert numbers have opposite effects on temperature fields. The thermophoresis and Brownian motion parameters affect the opposite trends of the concentration and temperature distributions. The concentration reduces with chemical reaction parameters and the Lewis number. Heat transfer (HT) is enhanced for higher Brownian and thermophoresis. The findings of this study can have potential applications in various engineering fields, such as microfluidics, chemical processing, and thermal management systems, where precise control of fluid flow and heat transfer is essential

    Application of ICT as a Key Element for Airport Safety and Security Operations

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    Airport risk management is a demanding task as several different areas have to be monitored including outer edges, car parks, terminals, and other passenger facilities. Information and communication technologies (ICT) are key elements for airport operation safety and security. One of the advantages of ICT based systems is they can react better and faster in real time and perform certain tasks at airports. This paper aims to present a safety overview of ICT and multi-agent systems (MAS) usage in the implementation of various airport operations. This paper aims to present a safety overview of ICT and MAS systems usage in the implementation of various airport operations. This paper summarizes a multi-agent concept that highlights their applications at airports such as passenger transfer, baggage management, aircraft handling, and field service through a detailed and extensive literature review on related topics. Much of the information on processes within the airport, processes in air traffic, and the processes of operators, i.e. airlines, is the result of monitoring work on a software development project for individual airports that serves to manage all processes in airports. The analysis led to the conclusion that safety and security in airports can be additionally improved by greater use of ICT as well as greater use of MAS, which ultimately contributes to the optimization of the airport

    Impact of Covid-19 on the Logistics Sector of Public Postal Operators in The Western Balkans

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    The Covid-19 pandemic has a direct impact on the social, economic, political, and other segments of society through a large number of lockdowns in 2020 and 2021. The largest postal and logistics companies as an integral part of the supply chain have been directly affected by the Covid 19 pandemic. Disruption in the supply chain significantly affects the movement of goods and the economic development of countries. This paper investigates the impact of the covid-19 pandemic on the logistics sector, with special emphasis on public postal operators (PPO) in some countries of the Western Balkans (Bosnia and Herzegovina, Croatia, and Serbia). The paper analyzes the movement of express shipments in domestic transport, as well as imports and exports for 2020. There is almost no research on the implications of the covid-19 pandemic on the postal and logistics sectors of Bosnia and Herzegovina, Croatia, and Serbia. The aim of this research is to understand the impact of the pandemic on this sector

    Key Evaluation Criteria for Assessing the Introduction of Electric Vehicles into the Logistics Operators Fleet

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    Increasing demands for logistics services cause several challenges related to total costs and meeting global environmental requirements. Logistic operators make efforts to improve all logistic processes and the distribution chain system by optimizing distribution networks and transport routes. Also, using clean or renewable energy help to meet the above-mentioned requirements by using environmentally friendly means of transportation such as electric and hybrid vehicles. The replacement of conventional with electric vehicles provides numerous benefits for improving the efficiency of the distribution chain system. This process is part of the concept known as Green Logistics, which strives to minimize the environmental impact of the logistics network and delivery. This paper focuses on identification of indicators for evaluating the acceptability of replacing conventional vehicles with electric vehicles in the fleet of logistics operators. We propose an evaluation matrix based on key indicators such as total costs, eco score fleet rating, and range and energy supply of vehicles. We use these indicators to determine the advantages, challenges, and possibilities of introducing electric vehicles in the logistics operator’s fleet. Also, we conducted a multi-criteria analysis of replacing conventional with electric vehicles in the fleet of one logistics operator

    A Proposed outsourcing model for pick-up and delivery processes

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    In the last few years, we have been active participants in globalization and the rapid growth of online commerce. This trend directly impacts logistics, postal, and courier companies. Challenges are visible in the growth and development of these companies, as well as quality of task execution and the ability to adapt to market conditions. With the impact of the SARS-COV-19 virus on the market, and due to locks during the pandemic, shoppers were forced to buy products online. This effect accelerated the trend of purchases via e-commerce, which increased the number of parcels in the technological phases of pick-up and delivery. These companies are the bearers of the first and last technological phase of shipment transport. Due to the increase in the number of shipments, postal and logistics companies are under great pressure. This is because of certain restrictions introduced during the pandemic, but also because of costs, especially fixed costs in the first and last phase of transport. This paper proposes an outsourcing model for the pick-up and delivery to convert fixed costs into variable ones

    Assessment of factors affecting the software process improvement in small organizations

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    Software process improvement implies a set of complex and systematic activities of software engineering. It requires theory and models established in management, technical and social sciences. The improvement is based on the assumption that the organization if it owns mature and capable processes, would be able to deliver quality software on time and in line with predicted costs. The maturity models are initially aimed for implementation in enterprise software organizations, government organizations and within the military industry. Their complexity and the size make them difficult to use in small software organizations and companies. In such organizations the interest for use and the efforts to make an efficient and effective organization is always presented, though. In this paper, the basic and derived capability maturity models are described and cases from their implementation are analyzed, along with assessment of results of such projects in business practices. The problem of the software process improvement in small organizations is described, extracting the risks and recommendations for its enhancement. These recommendations are provided in order to set up a foundation for implementation of these models in a specific managerial and organizational environment characterized by small organizations

    Modeling and simulation of fiber optic transmission links

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    The main aim of the paper is modeling and simulation of fiber optic transmission. It also deals with ways to increase the capacity of fiber optic transmission links by using WDM (Wavelength Division Multiplexing) system. The parameters of the fiber optic transmission link were measured on a real optical transmission links and a model for simulation was set up. A simulation of increasing the capacity of a fiber optic transmission link was made in two ways. The first one is to increase the transmission speeds of the individual channels of the WDM system, and the second one is to increase the number of WDM system channels with lower individual speeds. The simulation results showed that the second method provides better quality of WDM service. The additional experiment was done on an existing ITU T G.655 optical fiber intended for WDM systems whose parameters were measured. Bit error rate and Q parameter for WDM system of 4 and 16 channel was used to check quality of proposed solution

    Prediction of User Throughput in the Mobile Network Along the Motorway and Trunk Road

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    The main goal of this research is to create a machine learning model for predicting user throughput in the mobile 4G network of the network provider M:tel Banja Luka, Bosnia and Herzegovina. The geographical area of the research is limited to the section of Motorway "9th January" (M9J) Banja Luka - Doboj, between the node Johovac and the town of Prnjavor (P-J section), and the area of the section of trunk road M17, between the node Johovac and the town of Doboj (J-D section). Based on the set of collected data, several models based on machine learning techniques were trained and tested together with the application of the Correlation-based Feature Selection (CFS) method to reduce the space of input variables. The test results showed that the models based on k-Nearest Neighbors (k-NN) have the lowest relative prediction error, for both sections, while the model created for the trunk road section has significantly better performance

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