Advanced modeling tools and methods are essential components for the analyses of congested conditions and advanced Intelligent Transportation Systems (ITS) strategies such as Managed Lanes (ML). A number of tools with different analysis resolution levels have been used to assess these strategies. These tools can be classified as sketch planning, macroscopic simulation, mesoscopic simulation, microscopic simulation, static traffic assignment, and dynamic traffic assignment tools. Due to the complexity of the managed lane modeling process, this dissertation investigated a Multi-Resolution Modeling (MRM) approach that combines a number of these tools for more efficient and accurate assessment of ML deployments. This study clearly demonstrated the differences in the accuracy of the results produced by the traffic flow models incorporated into different tools when compared with real-world measurements. This difference in the accuracy highlighted the importance of the selection of the appropriate analysis levels and tools that can better estimate ML and General Purpose Lanes (GPL) performance. The results also showed the importance of calibrating traffic flow model parameters, demand matrices, and assignment parameters based on real-world measurements to ensure accurate forecasts of real-world traffic conditions. In addition, the results indicated that the real-world utilization of ML by travelers can be best predicated with the use of dynamic traffic assignment modeling that incorporates travel time, toll, and travel time reliability of alternative paths in the assignment objective function. The replication of the specific dynamic pricing algorithm used in the real-world in the modeling process was also found to provide the better forecast of ML utilization. With regards to Connected Vehicle (CV) operations on ML, this study demonstrated the benefits of using results from tools with different modeling resolution to support each other’s analyses. In general, the results showed that providing toll incentives for Cooperative Adaptive Cruise Control (CACC)-equipped vehicles to use ML is not beneficial at lower market penetrations of CACC due to the small increase in capacity with these market penetrations. However, such incentives were found to be beneficial at higher market penetrations, particularly with higher demand levels.

The main theme of the thesis is managed care system description and definition. The first part is focused on managed care history, development in this system, and types of organizations providing this medical and hospital services. There is also chapter concerned with problems of resource management and managed care quality. The next chapter describes medical and health services and managed care in the USA, the only country offering these services in free mareket economy. For comparison in the next chapter there are presented someEuropean states, which try to introduce managed care as a tool for reduction of redundant and duplicate health services costs, include Czech Republic. At the conclusion, the comparison of some economic indicator of medical and health services among some European contries and the USA has been done.

The diploma thesis deals with the increasing of elasticity level in supply chain in automotive industry, especially with the import of new cars Peugeot for Czech customers. It solves discrepancy between production and consumption from point of capacity, sentimental, position and time view. It uses a method for demand forecasting by multiple temporal regression and method Vendor Managed Inventory.

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This thesis focused on the use of a computerized reading assessment program called Star Reading. Reading has been one of the most difficult areas across the curriculum to assess. Reading asssessment differs widely from teacher to teacher, and has traditionally been very subjective.

The present study empirically examined working behaviors of men and women within a self-managed working environment. Three models of women and work were studied. Results indicated women exhibited higher levels of job meaning and continuance commitment. The more self-managed production team exhibited higher levels of growth need strength, support from co-workers, continuance commitment, task significance and lower levels of role conflicts. Support teams exhibited higher levels of autonomy and satisfaction with pay. Path analysis, testing a model based on Astin's sociopsychological model indicated direct effects from expectancy to general satisfaction, from gender to expectancy, and task significance to gender. An alternative model showed direct effects between general satisfaction and expectancy, satisfaction with pay, task significance and expectancies, and between satisfaction with pay and teams.

Derived from sociotechnical systems theory, autonomous or self-managed work groups are a form of work design in which employees are multi-skilled, take responsibility for the group's tasks, and have discretion over the decisions which impact group performance. Previously collected survey data from 602 employees of a southwestern manufacturing firm were examined via factor analyses and multivariate analysis of variance. Significant differences were found for self-managed work group members versus traditional job holders regarding enhanced organizational involvement and enhanced work responsibility. However, there was no evidence of an age effect nor interaction regarding age. This study provides evidence to other action researchers and organizational decision makers that an "older" work force should not be considered a barrier to implementing this type of work design