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<p dir="ltr">Accurate traffic information plays a crucial role in developing appropriate pavement designs. However, the existing traffic design input module often falls short in accurately describing the real traffic conditions on Indiana highways. Furthermore, a range of issues related to vehicle classification, transit bus traffic characterization, semi-truck platooning, pavement friction assessment, and highway model representation have been identified. This study aims to improve the design, safety, and visual presentation of highways in Indiana. In the realm of design, real-world traffic data will be collected and processed, while a traffic database of urban buses will be established. Both an axle-based digital classification method and a model-based image classification method will be introduced to categorize unclassified vehicles. The updated vehicle class distributions and axle load distributions will serve as pivotal traffic inputs for pavement design. Regarding safety considerations, a model for two-semi-truck platooning will be developed to determine safe and optimal headways. Characteristics pertinent to semi-truck platoons will be outlined and discussed. Additionally, a series of laboratory and field tests will be conducted to assess the frictional properties and performance of aggregates and colored pavements, thereby refining roadway safety measures. In the realm of visual presentation, the Building Information Modeling (BIM) framework will be applied to convert, enrich, and extend a highway model. A BIM-centered repository will be created, amalgamating a wealth of information encompassing traffic specifics and project particulars into an integrated visual platform. Moreover, Open BIM processes will be implemented, streamlining the exchange of highway data and ensuring seamless compatibility of models. The results of this study can offer valuable insights to drive improvements in highway design, safety, and visual presentation throughout Indiana.</p>

The master’s thesis deals with project management issues with a focus on the specifics of the construction of new and modernisation of old fossil-fuel and nuclear power plants belonging to ČEZ, a.s. It summarizes the project management methodology and standards and integrates them into a unified information system, thus creating a sound platform that supports all company projects in all stages of their individual life cycles. This thesis analyses the current status of the application support and proposes extensions to the information system, which significantly increase its value.

The present work is focused on project management and the relationship of this discipline to agile approaches. The aim was to design a generic agile project management methodolo-gy, which is based on Agile values and attitudes. Although the proposed methodology is mainly based on agile software development methodologies, it is also applicable to any type of project. The secondary objective was to propose possible ways of using this generic agile project management methodology in teaching 4IT414 - ICT Project Management, including the creation of documents to support this application. The work is divided into theoretical and practical. First the author defined the basic terms and knowledge of project management and subsequent-them, then also agile approaches and methodologies. In the practical part was introduced generic methodology for agile pro-ject management and proposed a possible way of involving the teaching methodology, including the design documents to serve. The objectives were met. Work can serve students agile approaches and project management, their teachers and the general public. The proposed methodology may be used for studies and real environments in various companies and institutions.

The main goal of this diploma thesis is to investigate the possibilities of the usage of Kanban system within a banking environment. To achieve this goal, the history, advantages, disadvantages and main areas of its usage are analyzed and described. Another goal of this thesis is to define the suitable terminology for Czech environment and to inspect the extent to which the concept of Kanban is compatible with the existing approaches and methodologies to project management. The market analysis of available software tools to support the concept of Kanban is performed (criteria definition, evaluation and final comparision). Based on all the previously described outputs a methodology to implement Kanban in banking environment is designed.This methodology is then used in the final chapter of the thesis -- the case study from an international bank, providing middle management with a step by step guide to successfuly implement Kanban system.

This thesis is focused on the methodological documents improvement of the company in the field of project management. The changes are based on the theoretical base, which is made up of the general project methodologies selected by the author. The first part describes two chosen methodologies, use of which, is based on knowledge of the company environment. The second part then describes the existing guidance documents that can be used as inspiration to create a new methodological document. The output of the thesis is the methodological project document, which takes into account both the principles and practices described in the context of general methodologies, current guidance documents and knowledge of the company environment.

<p>In the field of the construction industry, the research work has been widely focused on identifying key performance indicators and critical success factors without assessing the impact of conflict environment factors. This study focusses on the impact of post-conflict environment factors on local construction organization performance. This research presents a performance prediction model comprising the effect of post-conflict environment factors on construction organization performance. The proposed framework of this study has four stages: identify key performance indicators (KPIs), identify post-conflict environment impacting factors, determine critical success factors (CSFs), and formulate success strategy to improve performance. Analytical hierarchy process (AHP) and multiple linear regression (MLR) techniques are applied to analyze the data.</p> <p>The study finding indicates that there is a significant relationship between the post-conflict condition impacting factors and local construction organization performance, which is insufficiently studied in previous research work. Thus, the developed framework will benefit academic scholars and industry practitioners to analyze and evaluate challenges and opportunities caused by different external environment conditions in the post-conflict construction industry. </p>

The thesis deals with problems regarding management of risks during the development of a project. First, methodological basis and procedures for evaluating the development of the project are introduced. In the practical part of the thesis, company is presented and development of specific bridge construction with all the risks involved is analyzed. The aim of the thesis is execution of risk analysis on specific project and suggestion for precautions eliminating its risks.

The master´s thesis is about creating of travel blog. In the beginning there is analysis of actual situation and creating of change. Right after will be created risk analysis to see and identify risk and in case to express and stand in front of risk regarding their risk seriousness. Blog asi t is will be created with help of tools of project management and it should be transformed to small business in selling of cheap flights through the business partner.

<p>As buildings have almost come to a saturation point in most developed countries, the management and maintenance of existing buildings have become the major problem of the field. Building Information Modeling (BIM) is the underlying technology to solve this problem. It is a 3D semantic representation of building construction and facilities that contributes to not only the design phase but also the construction and maintenance phases, such as life-cycle management and building energy performance measurement. This study aims at the processes of creating as-built BIM models, which are constructed after the design phase. Point cloud, a set of points in 3D space, is an intermediate product of as-built BIM models that is often acquired by 3D laser scanning and photogrammetry. A raw point cloud typically requires further procedures, e.g. registration, segmentation, classification, etc. In terms of segmentation and classification, machine learning methodologies are trending due to the enhanced speed of computation. However, supervised machine learning methodologies require labelling the training point clouds in advance, which is time-consuming and often leads to inevitable errors. And due to the complexity and uncertainty of real-world environments, the attributes of one point vary from the attributes of others. These situations make it difficult to analyze how one single attribute contributes to the result of segmentation and classification. This study developed a method of producing point clouds from a fast-generating 3D virtual indoor environment using procedural modeling. This research focused on two attributes of simulated point clouds, point density and the level of random errors. According to Silverman (1986), point density is associated with the point features around each output raster cell. The number of points within a neighborhood divided the area of the neighborhood is the point density. However, in this study, there was a little different. The point density was defined as the number of points on a surface divided by the surface area. And the unit is points per square meters (pts/m²). This research compared the performances of a machine learning segmentation and classification algorithm on ten different point cloud datasets. The mean loss and accuracy of segmentation and classification were analyzed and evaluated to show how the point density and level of random errors affect the performance of the segmentation and classification models. Moreover, the real-world point cloud data were used as additional data to evaluate the applicability of produced models.</p>