This diploma thesis deals with feasibility study of a cruise infrastructure. In the first part is explained principle of feasibility study and its recommended outline. Selected parts of feasibility study are then commented especially financial and economic analysis. This part is followed by explanation of some main terms and description of main differences of evaluating economic effectivity of investment between freighter and cruise. Within the scope of this thesis was also processed a feasibility study dealing with specific investment goal prolongation of navigability of Baťa Canal. The study is divided into individual chapters according to the recommended curriculum. Each chapter deals with different issues related to the investment plan. All findings and recommendations of the study are summarized in the final evaluation.

Diplomová práce se zabývá modelováním letadla a simulací různých typů letu. Pro modelování letu bylo podle zadání vybráno proudové letadlo s dlouhým doletem – Gulfstream G550. V první části práce jsou podrobně popsány pohybové rovnice letadla. Dále je vysvětlen numerický model letadla, sestavený na základě pohybových rovnic. Pochopení modelu letadla je nezbytné pro modelování a simulaci vertikálních profilů letu. Práce se zaměřuje na nastavení parametrů modelu letadla podle reálného letadla Gulfstream G550 a modelování vertikálního profilu letu v letové fázi CRUISE. Posledním bodem práce je průzkum optimálního letu letadla vzhledem ke spotřebě paliva. V závěru jsou diskutovány dosažené výsledky a je nastíněn směr případného pokračování práce.

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The present thesis utilises dynamic time warping and cluster analysis with the aim of discovering different touristic profiles. GPS data of cruise passengers intra-destination movement at the destination of Visby, Gotland, was used in the analysis. Further stop detection was performed so as to compare stop activity and stop allocation between the clusters. Four tourist profiles were derived by juxtaposing the category of attractions/areas where high stop densities were found, with the spatial dispersal of stop activity, denoted as either exhibiting a concentrated or exploring pattern. Some key influencers of tourists' spatio-temporal behaviour were also identified. These included whether the cruise passengers appeared to have taken some mode of transportation upon their on-shore visit, whether the area was dense in activities/facilities oriented towards tourists and the time spent at the destination. The contribution of this thesis is twofold. First this thesis contributes to previous research by developing and testing a methodological approach utilising dynamic time warping to investigate cruise passengers' spatio-temporal behaviour at a destination. Second, the results of the thesis may aid destination managers in finding tools and strategies that are tailored after the unique opportunities and challenges posed by different tourist profiles.

Although the cruise industry and ROPAX ships have achieved steady growth with increased capacity, innovative service provisions and constantly being prepared for events of emergencies, they were not prepared for the sudden COVID-19 pandemic, and the travel restrictions and No Sail order put a halt to their services. Organisational resilience has received a growing interest in the world since its capabilities can support organisations to anticipate, cope and adapt to internal or external changes due to a crisis or unexpected event. This exploratory scenario study seeks to examine the cruise ships organisational resilience and service attributes in the context of the COVID-19 pandemic.The empirical findings have been collected by using qualitative semi-structured interviews with four key managers and decision makers within the industry. The findings were themed to find qualitative variations and then analysed in relation to the presented literature through the adaptive change cycle. The adaptive change cycle has been used to explain the drastic and partially chaotic crisis and recovery of cruise services.

With all the advancements in autonomous and connected cars, there is a developing body of research around the security and robustness of driving automation systems. Attacks and mitigations for said attacks have been explored, but almost always solely in software simulations. For this thesis, I led a team to build the foundation for an open source platoon of scale semi-autonomous vehicles. This work will enable future research into implementing theoretical attacks and mitigations. Our 1/10 scale car leverages an Nvidia Jetson, embedded microcontroller, and sensors. The Jetson manages the computer vision, networking, control logic, and overall system control; the embedded microcontroller directly controls the car. A lidar module is responsible for recording distance to the preceding car, and an inertial measurement unit records the velocity of the car itself. I wrote the software for the networking, interprocess, and serial communications, as well as the control logic and system control.

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An embedded model predictive controller for velocity control of trucks is developed and tested. By using a simple model of a heavy duty vehicle and knowledge about the slope of the road ahead, the fuel consumption while traveling near a set speed is diminished by almost 1% on an example road compared to a rule based speed control system. The problem is formulated as a look-ahead optimization problem were fuel consumption and total trip time have to be minimized. To find the optimal solution dynamic programming is used, and the whole code is designed to run on a Scania gearbox ECU in parallel with all the current software. Simulations were executed in a Simulink environment, and two test rides were performed on the E4 motorway. / En algoritm för hastighetsstyrning baserad på modell-prediktiv reglering har utvecklats och testats på befintlig styrsystem i ett Scania lastbil. Genom att använda en enkel modell av fordonet och kunskap om lutningen på vägen framför den kunde man sänka bränsleförbrukningen med nästan 1% i vissa sträckor, jämfört med en regelbaserad farthållare. Problemet är formulerat som en optimerings-problem där bränsleförbrukning och total restid måste minimeras. För att hitta den optimala lösningen användes dynamisk programmering och hela koden är skriven så att den kan exekveras på en Scania styrenehet. Koden är kan köras parallellt med den mjukvara som är installerad på styrenheten. Simuleringar utfördes i en miljö utvecklad i Simulink. Två test-körningar på E4 motorvägen utfördes.

Traffic signals are used at intersections to manage the flow of vehicles by allocating right-of-way in a timely manner for different users of the intersection. Traffic signals are therefore installed at an intersection to improve overall safety and to decrease vehicular average delay. However, the variation of driving speed in response to these signals causes an increase in fuel consumption and air emission levels. One solution to this problem is Eco-Cooperative Adaptive Cruise Control (Eco-CACC), which attempts to reduce vehicle fuel consumption and emission levels by optimizing driver behavior in the vicinity of a signalized intersection. Various Eco-CACC algorithms have been proposed by researchers to address this issue. With the help of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication, algorithms are being developed that utilize signal phasing and timing (SPaT) data together with queue information to optimize vehicle trajectories in the vicinity of signalized intersections. The research presented in this thesis constitutes the third phase of a project that entailed developing and evaluating an Eco-CACC system. Its main objective is to evaluate the benefits of the newly developed Eco-CACC algorithm that was proposed by the Center for Sustainable Mobility at the Virginia Tech Transportation Institute. This algorithm uses advanced signal information (SPaT) to compute the fuel-optimal trajectory of vehicles, and, then, send recommended speeds to drivers as an audio message or implement them directly into the subject vehicle. The objective of this study is to quantitatively quantify the fuel-efficiency of the Eco-CACC system in a real field environment. In addition, another goal of this study is to address the implementation issues and challenges with the field application of the Eco-CACC system. A dataset of 2112 trips were collected as part of this research effort using a 2014 Cadillac SRX equipped with a vehicle onboard unit for (V2V) and (V2I) communication. A total of 32 participants between the ages of 18 and 30 were randomly selected from one age group (18-30) with an equal number of males and females. The controlled experiment was conducted on the Virginia Smart Road facility during daylight hours for dry pavement conditions. The controlled field experiment included four different scenarios: normal driving, driving with red indication countdown information provided to drivers, driving with recommended speed information computed by the Eco-CACC system and delivered to drivers, and finally automated driving (automated Eco-CACC system). The controlled field experiment was conducted for four values of red indication offsets along an uphill and downhill approach. The collected data were compared with regard to fuel economy and travel time over a fixed distance upstream and downstream of the intersection (820 ft (250 m) upstream of the intersection to 590 ft (180 m) downstream for a total length of 1410 ft (430 m)). The results demonstrate that the Eco-CACC system is very efficient in reducing fuel consumption levels especially when driving downhill. The field data indicates that the automated scenario could produce fuel and travel time savings of 31% and 9% on average, respectively. In addition, the study demonstrates that driving with a red indication countdown and recommended speed information can produce fuel savings ranging from 4 to 21 percent with decreases in travel times ranging between 1 and 10 percent depending on the value of red indication offset and the direction. Split-split-plot design was used to analyze the data and test significant differences between the four scenarios with regards to fuel consumption and travel time. The analysis shows that the differences between normal driving and driving with either the manual or automated Eco-CACC systems are statistically significant for all the red indication offset values. / Master of Science