This master's thesis deals with design and implementation of program unit Access System for BUT Information System Apollo. The goal of this work is to analyze Oracle technology and chosen database schemes of access system. After that use results of analysis to design and to implement of application which provide functionality to creating access to the identification cards readers and support inspection of passing through identification cards readers. Project is creating in Borland Delphi 7.

The debate over the effective preparation of pre-service teachers is not new. Often this debate concerns what might be considered successful methods for all pre-service teachers. However, preparation for career and technical education (CTE) teachers could look quite different than that of academic teachers, whether they are prepared through traditional or alternative routes to education. In this qualitative study, the researcher examined two iterations of the alternative-route program designed to prepare new CTE teachers in Mississippi and considered the level of self-efficacy of the teacher participants, the perceived effectiveness of the specific elements of each program, and the perceived significance of teacher/administrator and teacher/mentor relationships. The results of this study indicate that participants in the most recent iteration of the alternative-route program have a higher level of self-efficacy in teaching. The study also found that the specific elements of the newer version of the program are perceived as more relevant than those of the older version of the program and that teacher/administrator and teacher/mentor relationships play a key role in self-efficacy and job satisfaction among new CTE teachers. The results of this study also revealed that new CTE teachers desire opportunities to grow their pedagogical content knowledge by interacting and learning from veteran teachers in their respective content areas. Additionally, some of the more effective teachers who participated in this study rated themselves lower than their less effective colleagues on a self-efficacy survey and vice versa, indicating the presence of the Dunning-Kruger effect, which posits that, when an individual is unskilled in a certain task, they not only make poor choices in that area but also lack the metacognitive ability to realize it.

Connected vehicle is a fully connected transportation system in which vehicles, infrastructure, and mobile devices are enabled to exchange information in real-time to bring advancements in transportation operations. It is important to incorporate the new characteristics of the connected vehicle in the transportation planning process. Also, it is vital for planning and road agencies to better understand the impacts of connected vehicle on transportation networks, system demand, and travel behavior of road users in order to properly prepare for them. In addition, developers of connected vehicle systems can gain insight into how their systems will impact road users and network performance. When a change in performance of a transportation network occurs it can potentially cause users to change travel modes, known as mode choice. In this research, the change in mode choice, due to the change in network performance by introduction of connected vehicle is studied. This provides a more accurate depiction of the performance of the network and indicates how connected vehicles could change travellers’ preference in travel mode. The effect of this technology is explored on the performance of the Toronto waterfront, in a microsimulation environment. The results show that average travel time increases for high market penetrations when a dynamic route guidance algorithm is implemented, a phenomenon that occurs in dense, and complex traffic networks. Analysis of mode choice shows a loss in the auto mode share, for high market penetrations, due to the increased auto travel times. This loss in the auto mode share is compensated by increases in the other modes. / Thesis / Master of Applied Science (MASc)

Lekplatser förser barn med möjligheten att praktisera och utveckla sina sociala, emotionella, kognitiva och fysiska förmågor. Att tillhandahålla tillräckligt med lekplatser vilka också upplevs som tillgängliga är således en hörnsten för en hållbar planering. Denna uppsats utforskar barns tillgång till lekplatser iStockholm. Tillgängligheten undersöks inte bara med traditionella metriska mått, dvs. det fysiska avståndet, utan också med hjälp av space syntax-teorier och metoder som bättre skildrar det upplevda avståndet till lekplatsen. Användningen av space syntax i en barnkontext är relativt outforskat. Dennastudie bidrar därigenom till space syntax-litteraturen genom att utforska dess tillämpningspotential i ett bredare sammanhang. Resultaten antyder att Stockholm presterar långt under stadens egna rekommendationer, och studien mynnar ut i en diskussion om potentiella planeringskonflikter. Dessa konflikter uppstår i gränslandet mellan ambitionen att planera säkra lekplatser och ambitionen att planera lekplatser som upplevs lätta att navigera till, samtidigt som de ligger inom ett rimligt gångavstånd från hemmet. / Playgrounds provide children with the opportunity to practice and develop social, emotional, cognitive, and physical skills. Providing enough playgrounds that also are perceived as accessible is thus a cornerstone of sustainable planning. This paper explores children's access to playgrounds in Stockholm. Accessibility is not only assessed using traditional metric measurements, i.e. the physical distance, but also with space syntax theories and methods capturing notions of perceived accessibility. The utilization of space syntax in the context of children is relatively unexplored. This study is therebycontributing to the space syntax literature by exploring the wider application potential of its methods. The results suggest that Stockholm performs well below the city's own recommendations, and the study proceeds into a discussion about possible planning conflicts. These conflicts are between the ambition to plan safe playgrounds and the ambition to plan playgrounds that are easy to navigate to, while also being within a reasonable walking distance from the home.

The efficiency of the transport sector is under close examination due to multiple different reasons. Among them are the environmental aspects of emission reduction along with the need to maintain a tight time schedule. Heavy trucks have a significant negative impact on the environment and are sensitive to external factors. Planning green routes is a way to minimize the emissions from heavy trucks by reducing the fuel consumption without sacrificing travel time. This thesis will investigate suspected parameters relevance to the fuel consumption of heavy trucks and their effect on the fuel consumption on heavy trucks. To achieve this, two independent literature searches were conducted, the first to find the relevance and the second to understand the effect. Then a comparison was made with the NVDB to see if the suspected parameters were represented by the attributes in the database. The result of the first literature search varied and the speed and congestion parameter showed the strongest relevance to the fuel consumption of the heavy truck. The second literature search found past research that stated that the fuel consumption of heavy trucks were affected by the parameters, gradient, speed, road curvature, road roughness, congestion, road elements and weather. The result of the investigation of attributes in the NVDB is displayed with respect to green routing. The relevance measure in the first literature search was assumed to be higher if the number of relevant articles were high. The results of the second literature search were discussed with respect to green routing. This was followed by suggesting eventual improvements in the NVDB and improvements in the method used in this thesis. Furthermore, the parameters usage and implementation in GIS were discussed. It was concluded that all parameters found in the second literature search except weather were appropriate for green routing. Other parameters could also have an effect on the fuel consumption of heavy trucks but further research is necessary to investigate this.

The traffic network is subject to random disruptions, such as incidents, bad weather, or other drivers’ random behavior. A traveler’s route choice behavior in such a network is thus affected by the probabilities of such disruptions, his/her attitude towards risk, and real-time information on revealed traffic conditions that could potentially reduce the level of uncertainty due to the disruptions. As the road network’s performance is de-termined collectively by all travelers’ choices, it is also affected by these factors. This thesis features the development of a multi-class user equilibrium model based on hetero-geneous risk attitude distributions and a user equilibrium model based on various disrup-tion probabilities and information penetration rates that can be used to perform sensitivity analyses for a traffic network. The method of successive average (MSA) is used to solve for the equilibrium conditions. Laboratory experimental data are used to calibrate the risk attitude model. A sample sensitivity analysis is performed to show the disruption and in-formation penetration effects on network performance. Initial calibrations show promis-ing results for route flow predictions in a congested network with respect to heterogene-ous attitude. With respect to disruption probability and information access, having too v high information penetration will not improve the network’s performance, while having a small disruption probability can improve traffic conditions in the network

Involvement of Czech Republic to the Europe-wide network of pilgrimage routes, which are leading to Santiago de Compostela. Bring back the tradition of traveling through the physical and mental landscape. Form of the path and its meaning as a part of the whole, but also on one’s own, independently, with its own beginning and destination. Presentation of unique landscape and human values and their mutuall blending and influencing in the course of history

Although cycling becomes more and more popular, many people are still deterred from cycling by various aspects including a lack of perceived safety [1 ]. To o:ffer preferable infrastructure and, hence, to better promote cycling. it is therefore crucial to examine how cyclists evahmte their routes, and to figure out what makes an infrastructure seem unsafe or unattractive. Some studies have already identified i.mportant route criteria 1ike safety or comfort, and have connected them to certain route attributes. High traffic volumes and cycling on no or poor cycling facilities are experienced as stressful by cyclists [2], [3], and they try to avoid these routes in order to reduce possible interactions with motor vehicles [4]. In contrast, a separated cycling facility, low speed, and low traflic volumes are evaluated as safe and stress-ftee [2], [5]. Furthennore, cyclists prefer oomfortable routes, that is, routes with low gradient and few stops and traffic lights as weil as attractive routes with a green and pleasant su:rrounding [6], [7]. Most ofthe studies investigated those criteria deductively, that is, the researchers analyzed the results theorydriven and in terms of predetermined criteria. In a previous study, we examined them in an inductive and qualitative approach that allowed us to collect criteria with the participants' individual wording and content [8]. We found that cyclists evaluate their route attributes in terms of Mental Comfort, possible interactions with other road users, Physical Comfort, the Base of Use of the infrastructure, and the pleasanlness of the surrounding. Safety and stress were found to be sub-aspects of Mental Comfort, whereas Interaction was associated with attention and concentration due to other road users. The term comfort, however, was mentioned by participants only in terms of physical comfort. The aim of the present study is to validate these evaluation criteria found in our previous study, and to connect them to certain route attributes using the experimental approach of a bicycle simulator in combination with qualitative surveys.

A mobile application is typically divided into two sides that communicate with each other: the front-end (i.e. what the user can see and interact with on the phone) and the back-end (the hidden ”server” side, which processes requests from the front-end). Ways to improve their production cycle are constantly investigated by corporations such as Applidium, which is a French startup company specialized in mobile applications. For instance, the firm often has to deal with external back-ends that are not properly documented, which makes the development of products intricate. Furthermore, test and documentation files for certain parts of projects are manually written, which is time consuming, and are all largely based on the same information (back-end descriptions). Hence, this information frequently finds itself scattered in different files, sometimes in different versions. Having identified issues that most regularly disrupt the work of the company’s employees, a certain number of goals to solve these are set, such as, notably, centralizing all back-end-related information into one authoritative source, and automatizing the generation of test and documentation files. A tool (in the form of a web application) allowing users to describe back-ends, called Pericles, is then proposed as the outcome of the master thesis, to deal with the described problems and materialize the defined objectives. Finally, a qualitative evaluation is performed through a questionnaire designed to assess how users feel the tool helps them in their work, which constitutes the metric for this project. The evaluation suggests that the implemented tool is relevant with respect to the fixed goals, and allows to infer its propensity to help Applidium’s developers and project managers by making the development and validation of projects easier.

Recent research at the University of Central Florida addressing crashes on Interstate-4 in Orlando, Florida has led to the creation of new statistical models capable of calculating the crash risk on the freeway (Abdel-Aty et al., 2004; 2005, Pande and Abdel-Aty, 2006). These models yield the rear-end and lane-change crash risk along the freeway in real-time by using static information at various locations along the freeway as well as real-time traffic data that is obtained from the roadway. Because these models use the real-time traffic data, they are capable of calculating the respective crash risk values as the traffic flow changes along the freeway. The purpose of this study is to examine the potential of two Intelligent Transportation System strategies for reducing the crash risk along the freeway by changing the traffic flow parameters. The two ITS measures that are examined in this research are route diversion and ramp metering. Route diversion serves to change the traffic flow by keeping some vehicles from entering the freeway at one location and diverting them to another location where they may be more efficiently inserted into the freeway traffic stream. Ramp metering alters the traffic flow by delaying vehicles at the freeway on-ramps and only allowing a certain number of vehicles to enter at a time. The two strategies were tested by simulating a 36.25 mile section of the Interstate-4 network in the PARAMICS micro-simulation software. Various implementations of route diversion and ramp metering were then tested to determine not only the effects of each strategy but also how to best apply them to an urban freeway. Route diversion was found to decrease the overall rear-end and lane-change crash risk along the network at free-flow conditions to low levels of congestion. On average, the two crash risk measures were found to be reduced between the location where vehicles were diverted and the location where they were reinserted back into the network. However, a crash migration phenomenon was observed at higher levels of congestion as the crash risk would be greatly increased at the location where vehicles were reinserted back onto the network. Ramp metering in the downtown area was found to be beneficial during heavy congestion. Both coordinated and uncoordinated metering algorithms showed the potential to significantly decrease the crash risk at a network wide level. When the network is loaded with 100 percent of the vehicles the uncoordinated strategy performed the best at reducing the rear-end and lane-change crash risk values. The coordinated strategy was found to perform the best from a safety and operational perspective at moderate levels of congestion. Ramp metering also showed the potential for crash migration so care must be taken when implementing this strategy to ensure that drivers at certain locations are not put at unnecessary risk. When ramp metering is applied to the entire freeway network both the rear-end and lane-change crash risk is decreased further. ALINEA is found to be the best network-wide strategy at the 100 percent loading case while a combination of Zone and ALINEA provides the best safety results at the 90 percent loading case. It should also be noted that both route diversion and ramp metering were found to increase the overall network travel time. However, the best route diversion and ramp metering strategies were selected to ensure that the operational capabilities of the network were not sacrificed in order to increase the safety along the freeway. This was done by setting the maximum allowable travel time increase at 5% for any of the ITS strategies considered.