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This research investigates the Leipzigerstraße and Gießereistraße intersection in Rackwitz to enhance safety and sustainable transportation. The study analyzes existing designs that experience accidents and proposes a design plan of mini roundabout to improve safety while using the guideline Anlage von Kreisverkehren. In this project, the roundabout is planned according to the currently valid guidelines from phase 2 of the HOAI (Fee Structure for Architects and Engineers). Rainwater management strategies and traffic quality of the roundabout are considered. Additionally, cyclist-friendly paths connecting Rackwitz and Zschölkau are developed in line by using guideline ERA. The proposed roundabout design and elevated cycle paths are identified as effective solutions to enhance safety and support eco-friendly transportation. By adhering to established guidelines and prioritizing safety, this research contributes to creating a secure and sustainable urban transportation network.
Since Carbon emissions are soaring all over the atmosphere, the world suffers from significant problems daily. It has become apparent that reliance on single occupancy vehicle transportation is unsustainable, expensive, and primarily harmful to humankind. Rural areas are frequently abandoned while expanding
transportation infrastructure as urbanisation grows. In rural areas, a lack of adequate and inexpensive transportation options leads to seclusion and restricted access to products, facilities, and job opportunities.
This study explores the potential of alternative transportation methods to improve mobility in rural areas. The objectives of the research are to expand knowledge on sustainable alternative transportation in rural regions and to offer practical solutions for enhancing accessibility and mobility for rural residents.
The study employed a mixed-method approach, including a literature review, a survey, and interviews with participants in two rural regions, Mosel and Oberrothenbach. The findings suggest that the transportation challenges faced by rural inhabitants can be effectively and sustainably addressed through walking and by using alternative transportation modes, such as cycling and public transit. This thesis provides a range of ideas and strategies to improve regulations, programs, and infrastructure related to alternative transportation modes in rural areas. This study dives into the characteristics and requirements
of these places using a combination of quantitative and qualitative surveys done in representative two rural regions to recommend successful alternative transportation solutions of On-Demand Transport Services and Electric or Trolley bus Services for daily commutes. The findings underline the need for flexible, multimodal, and on-demand transit choices, as well as the need for community participation and technology integration.
Natural varnishes have been used for centuries by musical instrument makers to protect the instruments for climatic, aesthetic and acoustic reasons. The effects of varnishes on the protection of the wood surface, as well as their aesthetic parameters, are easier to verify and compare visually, but the comparison of their acoustic effects has always been challenging and debated.
In fact, varnish layers have a small effect on the vibration properties of wood. For example, the effect of a decrease or increase in humidity on the vibration properties of wood is sometimes equal to the effect of several layers of varnish. Because of this small amount of effect, measuring this effect is also difficult and challenging.
Our strategy in this study is to obtain the clearest possible results by comparing the effect of only two types of oil varnishes with completely opposite elastomechanical properties and increasing the number of samples varnished.
The samples were measured before and after each varnish layer using conventional methods for measuring vibration properties, and the average results of the same samples were discussed and analyzed.
Overall, the amber varnish obviously has a more negative effect on the vibration properties of the violin plates compared to the colophony varnish.
BIM (Building information modeling) is becoming a reliable method for the planning, design, implementation, and maintenance stages of construction projects due to its ability to improve the quality of project stages, reduce project time, and ensure costs. From 2000 onwards, the trend of using BIM method increased in the world. And in the last decade, many developed countries have introduced BIM as a reasonable and efficient method with the aim of optimizing project stages, and many employers have paid attention to training and persuading consulting and contracting companies.
In the meantime, the BIM method is constantly being updated. Many researchers are looking to modify existing sub-methods to help the project achieve all of the great BIM goals.
Although BIM has great goals such as those mentioned, in some cases, projects are not able to achieve all of them for various reasons.
This thesis has put its hypothesis on the existence of deficiencies in the content of the EIR (Employer's Information Requirements) document and its writing methods.
This document, which is a kind of project guide in BIM format, is compiled by the client and its task is to announce the needs of the client to the members involved in the project and to clarify the different stages of the project. In many construction projects, due to the complexity of the EIR, the employer's lack of attention to some information, or the failure to include the opinions and views of the project's stakeholders in the writing of this document, the EIR cannot fulfill its key role with its maximum potential performance in the project.
This thesis is written with the aim of finding a comprehensive solution to maximize the power of the BIM method in a project through correct and complete document writing.
Also, this thesis seeks to prove its claims by focusing on the ABS 38 project as a case study. In addition, a literature review on important and key issues in the field of BIM and EIR documents has been done. After that, a scoring system (Relative rating method) was used to find the best variant and compare it to prove the proposed hypothesis.
Automotive transportation plays an important role in everyday urban life. The motorization is increasing along with rising population every year. The constant increase of cars causes various problems in big cities. One of the major problems is parking. Parking search traffic contributes to about 30% of the traffic volume in city centers. This leads to problems like congestion, road accidents, increase of fuel emission due to the circling of cars inside the city looking for parking facilities, environmental pollution etc. Most of the cities face this problem not because of the unavailability of parking spots in parking facilities but rather because drivers don't have the right information on where to park. This can be solved by providing proper guidance about the parking facilities to the drivers. For this, efficient parking space management including the design of a suitable parking guidance system is required. The Entsorgungs and Vekehrsbetrieb (EVB) Wismar has been responsible for the parking space management in the city since 2012 and is implementing the parking space concept in Wismar that was approved by the town council. So far, there is a static parking guidance system in Wismar, which consists of 20 locations with signs pointing to six parking facilities. The Entsorgungs und Vekehrsbetrieb (EVB) intends to replace the static parking guidance system of the Hanseatic City of Wismar with a dynamic parking guidance system (DPGS). The aim of my master thesis is to create a concept for the development of a dynamic parking guidance system in the Hanseatic city of Wismar, including the technical operation and possible implementation, taking autonomous driving into account.
Despite lacking sufficient evidence, the shift to automated mobility has often been regarded as progress towards a safer road transport system. Following the introduction of the first production car that has been officially certified as Level 3 earlier in 2022, the driver can shift their role to only as a fallback when the automated driving system reaches its limit of the Operational Design Domain. In the event of an accident, though, the matter will only get even more complicated, especially in the process of unravelling the party that was performing the Dynamic Driving Task at the time of the collision. An accident investigation is done to provide insight into how it occurred and uncover the liable parties. This thesis reviews various methods reconstructing an accident scene, such as photogrammetry and laser scanning, as well as elaborating the relevant data that has already available in the vehicle and from the infrastructure. Recommendations are also presented on for the future data collection, specifically in the scenario of automated driving, to improve such practice.
In this project we develop an intelligent water meter based on software solutions offered by the IOTA Foundation. The water meter allows the customer to map water usage in real-time and pay water on demand, as well as the water provider to map water usage on a greater scale, regulate water supply during low- demand phases and offers regulatory functions to prepare for drought or humid climate, and to incentivise sustainable water usage in high-demand fields like agriculture. This functionality is phrased into a research issue:
Invention of a working prototype to demonstrate the IOTA Streams and Wallet protocols for a meter with additional focus on economic efficiency and the technical preparation of scalability.
Utilizing the IOTA streams protocol, a next generation secure data connection is established between the water meter and a server-sided software application. On this connection, water consumption is mapped into a data bench, and informative data and commands are issued to the graphical interface of the meter.
The IOTA wallet library is leveraged to provide customer accounts corresponding to their meter. IOTA tokens can be send to the account, which grants access to water in a matter of seconds. Depending on the regulatory scenario, water flow can be stopped as soon as the account is exhausted (i.e. public well), or an overdraw can be established in order to guarantee fulfilment of basic human rights (i.e. private households).
Since pricing data can be calculated server-sided and water consumption is mapped in very narrow intervals of as low as 4 seconds, the price can be used as tool to regulate consumption.
The physical components include an electrical ball valve to shut down water flow automatically, a command line interface to provide informative data,, a Raspberry Pi running the client-sided software application, and a water meter with MBus-Interface, as well as a Controlling Board to connect the Raspberry Pi with both peripheral devices.
The finished prototype shows, that water consumption can be mapped on a highly secure level, in near real-time, from afar, flexible for most applications.
The traffic calming measures aim to slow down traffic speed, accident frequency, and reduction of through traffic caused mainly by motorized vehicles in residential areas. These measures are primarily addressed to the specific streets and lead the necessary or remaining traffic to drive in a restrained or considerate manner. While these measures are designed to prevent conflicts between pedestrians and motorists, they impose unstable traffic patterns and are sometimes unable to accommodate the increasing motor vehicle flows, as they are concentrated only on certain streets.
This paper investigates area-wide urban traffic calming techniques from existing projects. It explains how traffic regulatory and structural measures link together or separately to restrict the movement of motor vehicles traveling through neighborhood streets and divert them to main roads. The implemented sample measures were illustrated and described with photos of their current locations.
In this thesis, the district Äußere Neustadt was defined as a model area in Dresden to analyze and redesign the existing mobility plan in order to reduce the MIV flows with the main objectives of giving space for pedestrians, cyclists, and public transport. The district's street infrastructure is heavily impacted by the presence of parked vehicles, raising challenges to the safe movement of both bicyclists and oncoming motor vehicles. In the frame of the model project initiative - "Woche des guten Lebens", the volunteer team has designed a traffic experiment and carried out an online survey to assess citizens' opinions of the Äußere Neustadt. The analyses demonstrate and emphasize the necessity of political support and interactive communication with citizens regarding the area-wide radical sustainable mobility plan. Considering the positive feedback of the citizens, the new mobility plan was realized in this paper.
Area-specific traffic calming techniques such as diagonal or cross barriers, zone speed limits, offsets, one-way streets, etc. were analyzed from the implemented projects to determine the appropriate solutions for the specified streets. The district's existing traffic network and the new solutions offered were visualized using QGIS software.
The implemented new traffic plan will lead to more space for pedestrians and bicycle traffic and a reduction in traffic noise.
Radiation measurements have been employed in research for close to a century and over the last years a growing interest for application in workshops has developed. However, some problems of standardization mainly pertaining to room acoustics arise, which make measurement results comparable only to those conducted under the same circumstances. Our aim is to modify measurement procedure and rig design in such a way, that comparable results can be attained even in acoustically non-ideal spaces. A specialized rig for violin radiation measurements was constructed leaning on partial automation to allow for the application of thick curtains as a means of decoupling measurements from the surrounding room. Trial runs in an acoustically challenging space - our living room - as well as in a small studio environment were conducted.
Improvements of measurement results were obtained for frequencies above 800 Hz, measurements were influenced significantly by the surrounding room below that threshold. As a result, calculated features were heavily skewed by the environment, rendering obtained data useless for statistical purposes. Therefore additional measurements of six instruments were performed in a small studio environment and features as defined in the literature calculated. Correlations with listening test results concerning the evenness of sound as well as structural instrument parameters were obtained. Listening test results were inconclusive, which is proposed to be attributed to the narrow range of instrument quality available for trials. Some interesting correlations of measurement features with structural parameters could be obtained and further vetted through the comparison with a second set of data. Three correlations were found which were significant or approaching significance in both groups, giving a more complete connection from instrument making to sound perception. Furthermore we have found some interesting correlations of structural parameters, giving insights into maker decisions and corroborating some workshop wisdoms.
Level crossings represent high risk for both rail and road users due to the severe consequences of any possible accident. Between 2011-2020, a total of 1602 accidents occurred at level crossings in Germany and resulted in 344 fatalities. Therefore, elimination of accident risk through consolidation of level crossings becomes a priority. However, due to the scarcity of financial resources in comparison to the high costs that level crossings consolidation or safety upgrade projects require, there is a need for the creation of tools that prioritize the level crossings for consolidation projects based on several criteria that is not related to safety only but to social, economic and environmental aspects as well. Such tool would be particularly useful for authorities and decision-makers in Germany to improve the resource allocation process and increase overall safety at German level crossings. In this project, the level crossing prioritization and consolidation models that are applied all over the world are reviewed and analyzed to benefit from the international experiences in this field. Additionally, a literature review to determine the most influencing factors on level crossing safety was performed. After that, a points-based priority score for German level crossings was developed based on analytic hierarchy process (AHP) methodology after a pairwise comparison survey was conducted to a selected level crossing group of experts. The developed model assigns a priority score from 1000 points to each level crossing. Crossings could be ranked according to their priority for consolidation and safety upgrade based on the points received as crossings with the highest priority score have a higher priority for elimination.
Natural Language Processing (NLP) is a wide area in computer science and software engineering that finds its application not only in such fields as machine learning or artificial intelligence, but also has very quickly become a very popular solution to various questions and issues raised in the academic field. Those issues include information classification, text analysis, performing a so-called “smart search”, information grouping, providing feedback to academic papers, and many more. The application designed and implemented for this thesis targets solving a similar problem, which is described in details below.
The faculty of Physical Engineering and Informatics at the Westsächsische Hochschule Zwickau uses a software tool called “Quest”. The “Quest” serves as an online platform that enables students to ask questions regarding the module material introduced by the teaching professors. The professors can use these questions in order to keep track of the topics rising the most amount of uncertainty, as well as to clarify those questions during the lectures. Since the modules repeat over time, similar or identical questions are frequently asked by students.
The current functionality of the “Quest” tool, however, does not provide grouping or clustering questions with a similar content into one category. The reason why this is important is because in the future phases of the improvement of the functionality of the “Quest”, professors want to be able to link similar questions with a learning material or online resources that the students can benefit from. This, however, is only possible when each incoming question is labeled with a certain category, and all previously inputted questions associated with this category become visible through the UI of the tool. That would allow students to review the questions referring to the same category that were previously asked by others, as well as to get access to the study materials or resources associated with that category.
The functionality described above would significantly improve the study process and therefore a solution to this problem is needed. One way to solve this issue would be to perform a manual classification of existing questions into associated categories, which given the large size of the question database would be quite time- and effort-consuming. Another option would be to build an application that would be able to analyze the existing dataset of questions and, with the help of the NLP techniques, classify new questions asked by students and identify the similar ones from an existing database.
The tool implemented for the above-mentioned purposes aims to serve as text analytics and classification application that would be able to find and categorize similar text and questions provided by students and/or professors at the Westsächsische Hochschule Zwickau.
This bachelor thesis demonstrates the process of building a software tool using certain NLP techniques, such as tokenization, model training, categorization, NER (Named Entity Recognition), and POS (Parts of Speech tagging), which are defined and described in Chapter 2: “Literature Overview”. The relevance of these techniques in terms of the classification tool built in the context of this thesis is discussed in the section “Selection of NLP tools and techniques” of the “Methodology” chapter.
The aim of this thesis is to describe the methods and software tools used to develop a restful API for text classification, as well as to compare and analyze the effectiveness of two common NLP classifiers – the Naïve Bayes and Logistic Regression (Entropy Model) algorithms.
This work aimed to apply the Floating Film Transfer Method (FTM), developed by Kaneto et.al., as a new way of coating planar and nonplanar substrates with photoresist. Focus laid on the creation of a workflow to coat the substrate and process it by UV-Lithography and Nanoimprint lithography. Conventional coating methods like spin-, spray- or dip coating are well established in today’s industry but are limited in their capabilities to coat curved and structured surfaces. FTM offers the possibility to overcome these limitations. Therefore, two negative resists AR N 4400 and AR N 4600 10 as well as two positive resists AR P 3110 and AZ MIR 701 were drop cast on deionized water. The resist spreads into a thin film that can be transferred to a planar or curved substrate. Profilometric and ellipsometric measurements were conducted to evaluate the topography of the resist. A non-uniform thickness distribution was found depending on the resist and parameters like solid content, water temperature, and the amount of surfactant. UV-Lithography and Nanoimprintl ithography were successfully performed with these films. Resolutions as low as 2,3±0,4 µm were achieved by UV-Lithography of AR P 3110. A periodic pattern with a pitch of 1,51 µm was transferred by thermal nanoimprint lithography to AR N 4400 10. As proof of concept Laser Direct Writing was performed to structure AZ MIR 701coated on a glass vial.
The thesis analysis the car parks’ elements and the factors that influence the drivers’ behaviour on them. Then makes an approach to the definition of the strategy of how the car drivers search for free parking spaces. The reason for it is that there is a need to assess car parks’ design parameters in the terms of their performance. One of the decisive factors is also the drivers’ behaviour. A car park simulation based on the environment of matrices is designed and implemented in MATLAB. The algorithm for searching for the parking spaces is designed and implemented within that as well. The results of the simulation are presented.
ABSTRACT
Traffic congestion is a worldwide issue seen in various metropolitan cities. The reason for the existence of traffic congestion is overpopulation and high volumes of private cars that the roads are not able to sustain. The causes of traffic congestion are accidents, pollution, rush hours, bus bunching, and delays. Data and statistics are provided for traffic congestion related to rush hours. The benefits of public transportation such as buses are discussed. In this paper various forms of transit signal priority (TSP) strategies are assessed. TSP is a strategy that improves public transportation. The goal is to lessen congestion, lessen wait times, lessen travel times, and improve the service. Various forms of transit signal priority are researched and analyzed such as green wave, red truncation, dedicated bus lanes, queue jumps, etc.
The principal objective and aim of this thesis are improving traffic flow at the intersections of 2nd avenue @ 97th street, 2nd avenue @ 98th street and 2nd avenue @ 99th street in Manhattan. VISSIM will be utilized in implementing and setting up a high-quality microscopic simulation model of the signalized intersection in Manhattan. Providing prioritization for public transportation (specifically buses). Analyzing deficiencies in the traffic flow at the intersection 2nd avenue @ 97th, 98 and 99th street. The real time aspects will be considered on the selected intersections such as traffic signal coordination, speeds, pedestrians, various types of vehicles, public transportation, and bus stops.
There will be two models simulated: one that simulates the real time conditions. The second model in VISSIM implement changes to traffic flow on signalized intersection through V-A controller logic system. Improved signalization utilizes tsp and shows changes to congestion by giving buses priority with the help of detectors on signalized intersections. The aim of this model is to provide priority to buses and allows them special treatment; ultimately improves the bus service and traffic congestion.
KEYWORDS:
Bus priority, transit signal priority, detectors, public transportation, green extension, V-A Signal controller.
China is planning to rebuild the ancient Silk Road into a modern infrastructre network, spanning Asia, Central Asia and Europe. The investements are high and are not paying off. This thesis is exploring the political reasons for China's plans and the impact the initiative has on the Chinese-Kazakh relationship.