My thesis focuses on verification and projecting of cycle tracks in the Protected Landscape Area of Blansky Forest. It also considers current state of the tracks its description and suggestions how to improve and increase attraction of the tracks. Further my thesis deals with new draughts of the tracks whose goal should be recognition of the landscape combined with physical activity and at the same time the newly proposed tracks should only sensitively trench the enviroment of the area.Each of the track will be visualized and drawn into the map or eventually designed for using GPS navigation including kilometrage, crossfalls and KPČ suggestions.

In an era that sees sports clubs facing a crisis, a few still grow and attract new members. They use technology for their benefit and provide a place where the members have fun, become aware of their competence, set goals for improvement and experience empowerment. The present qualitative study, conducted with a road cycling club in Germany, investigates how membership is negotiated and confirmed. By exploring the factors that influence the degree of belonging, this research aims to provide some answers on how active members of a cycling hobby club experience becoming part of such a community, what it takes to substantiate membership, and how individual and collective identities are formed and constantly negotiated. The situated learning perspective and Etienne Wenger's Communities of Practice concept have been adopted, and semi-structured interviews with ten participants were conducted. Moreover, observations and conclusions from a stimulated focus group discussion were used. The analysis shows that cycling in a group is a complex, multifaceted learning experience. Power, speed, or cycling skills do not suffice without the will and active efforts to harmonise with a group. Belonging grows parallel to competence, and the degree of competence gets constantly evaluated by the community in their practice, as a combination of contribution to the common goal and ability to be a trusted partner. Competence is thus a “becoming”, reflecting the members’ engagement with the sport and on an interpersonal level.

Master thesis titled “Analysis of selected manoeuvres of bicyclists” in the first part deals with the history of bicycles, construction, division of bicycles and introduces–traffic accidents of cyclists and national legislation. Practical measurements with bicyclists is in the second part of this thesis. Cyclists performed deceleration on three surfaces, acceleration and a manoeuver, in which cyclist looked behind himself before changing the direction. The evaluation of all measurements and comparison with other similar works has been made in the last chapters.

In this thesis entitled ,,Analysis of motion of the bicycle when riding in a straight line”, I deal with the history of the bicycle, classifications and descriptions of the various parts of the bicycle and the analysis of accidents. The main objective is to analyze the movement of cyclists (bicycle) in a straight line in the implementation of tasks, typical for him - pedaling, showing a change in direction, or looking back for him. In conclusion evaluation, which can then be used in the processing of judicial opinions by experts.

Title: Comparative of muscle activity during the cycling step with the use of clipless and normal pedals. Objectives: Diploma thesis objective is to compare muscle activity during pedaling cycle with/without clipless pedal. Using EMG we want to establishe, if 6 chosen muscles are showing significant involvement difference for pedaling with/without clipless pedals. Methods: It is combination of empirical - theoretical thesis. Our work consists of intra- and interindividual comparative analytical study. We used two comparative methods for EMG signal evaluation - Pearson correlation coefficient and comparison with use of signed area of the region bounded by its graph. Results: The results of the correlation analysis show a high degree of compliance of the average normalized envelope diagrams for a cycling step with and without clipless. Based on the comparison of areas under the EMG curve, there is no higher muscle activation potential for the classic pedal. Keywords: cyclist, pedal, cycling step, muscle aktivity, electromyography

Objective: Systems that can warn the driver of a possible collision with a vulnerable road user (VRU) have significant safety benefits. However, incorrect warning times can have adverse effects on the driver. If the warning is too late, drivers might not be able to react; if the warning is too early, drivers can become annoyed and might turn off the system. Currently, there are no methods to determine the right timing for a warning to achieve high effectiveness and acceptance by the driver. This study aims to validate a driver model as the basis for selecting appropriate warning times. The timing of the forward collision warnings (FCWs) selected for the current study was based on the comfort boundary (CB) model developed during a previous project, which describes the moment a driver would brake. Drivers’ acceptance toward these warnings was analyzed. The present study was conducted as part of the European research project PROSPECT (“Proactive Safety for Pedestrians and Cyclists”). Methods: Two warnings were selected: One inside the CB and one outside the CB. The scenario tested was a cyclist crossing scenario with time to arrival (TTA) of 4 s (it takes the cyclist 4 s to reach the intersection). The timing of the warning inside the CB was at a time to collision (TTC) of 2.6 s (asymptotic value of the model at TTA = 4 s) and the warning outside the CB was at TTC = 1.7 s (below the lower 95% value at TTA = 4 s). Thirty-one participants took part in the test track study (between-subjects design where warning time was the independent variable). Participants were informed that they could brake any moment after the warning was issued. After the experiment, participants completed an acceptance survey. Results: Participants reacted faster to the warning outside the CB compared to the warning inside the CB. This confirms that the CB model represents the criticality felt by the driver. Participants also rated the warning inside the CB as more disturbing, and they had a higher acceptance of the system with the warning outside the CB. The above results confirm the possibility of developing wellsaccepted warnings based on driver models. Conclusions: Similar to other studies’ results, drivers prefer warning times that compare with their driving behavior. It is important to consider that the study tested only one scenario. In addition, in this study, participants were aware of the appearance of the cyclist and the warning. A further investigation should be conducted to determine the acceptance of distracted drivers.

This thesis is a study of the “underground” cycling community in Ogden, Utah. Countercultural cycling micro-communities exist across the United States, if not the world, but have not yet been thoroughly studied by folklorists. This research establishes a foundational understanding of the nature of underground cycling culture, particularly in relation to identity. Using folkloric definitions of identity and subculture as my foundation, I examine four different facets of cyclist activities: folk art, folk events, narratives, and the community’s use of space. These four facets provide a variety of lenses through with to examine actualized, expressive cyclist behavior. Each facet also illustrates the different levels (personal, community, and global) at which identity is performed. The most personal performances of cyclist identity are through the folk art of modified bicycles. Modifications tend to reflect the personality of the cyclist, and consequently a bicycle comes to hold much symbolism for the cyclist. The communitylevel studies consisted of examining group events where I observed how the group interacted with itself. The performance and participation in activities are what constitutes an actual cycling community, rather than a series of individual cyclists. The examination of narratives moves outward to contextualize the cycling microcommunity within the larger Ogden community. This chapter explores the role of conflict, illustrates how cyclists think of themselves, and illustrates how cyclists define themselves in opposition to motorists. The community spaces examination looks at the use of physical space versus digital space. These spaces illustrate how the community behaves amongst itself versus how the community behaves amongst the larger, online, Utah cycling community. The physical space reflected the creativity and utilitarian needs of the group. The restrictive digital spaces manage to be expressive through images and language. Internal group conflict occurs more often online, however, due to infractions of implicit group etiquette, possibly as a symptom of a less personal form of interaction. The marginalized, cyclist identity seemed to hold the greatest rewards at the more intimate, personal levels. Moving outward towards broader community-level contests, cyclist identity seems to become a source of conflict.

Drivers overtaking cyclists on rural roads create a hazardous scenario due to the potentially high impact speeds and, therefore, severe consequences in case of a crash [1]. Díaz Fernández et al. analyzed crashes between cyclists and motorized vehicles from various data sources, including insurance reports and crash databases, and concluded that this scenario is particularly dangerous and new safety countermeasures are needed [2]. Other studies have shown that particularly the side-swipe risk through. aerodynamic forces due to low lateral clearance and high overtaking speed affects both the objective and subjective safety of the cyclist [3], [4]. Furthermore, recent work by Gildea et al. showed through a self-reported survey among cyclists that a significant amount of side-swipe crashes and near-crashes with lower severity of injuries remains unreported [ 5]. This underlines the importance of investigating further in what situations the side-swipe risk for cyclists increases and how it can be decreased effectively. Previous research investigated how driver behavior in overtaking is influenced by infrastructural elements such as lane widths [6], road markings [6], [7], parked cars [7], and the presence of road crossings. However, the effect of sight distance on driver behavior has not gained much attention yet. Therefore, this work analyzed the influence of sight distance on driver behavior and the resulting safety implications for the overtaken cyclist.

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The focus of this dissertation is on safety improvement at intersections and presenting how Vehicle/Bicycle-to-Infrastructure Communications can be a potential countermeasure for crashes resulting from drivers' and cyclists' violations at intersections. The characteristics (e.g., acceleration capabilities, etc.) of transportation modes affect the violation behavior. Therefore, the first building block is to identify the users' transportation mode. Consequently, having the mode information, the second building block is to predict whether or not the user is going to violate. This step focuses on two different modes (i.e., driver violation prediction and cyclist violation prediction). Warnings can then be issued for users in potential danger to react or for the infrastructure and vehicles so they can take appropriate actions to avoid or mitigate crashes. A smartphone application was developed to collect sensor data used to conduct the transportation mode recognition task. Driver violation prediction task at signalized intersections was conducted using observational and simulator data. Also, a naturalistic cycling experiment was designed for cyclist violation prediction task. Subsequently, cyclist violation behavior was investigated at both signalized and stop-controlled intersections. To build the prediction models in all the aforementioned tasks, various Artificial Intelligence techniques were adopted. K-fold Cross-Validation as well as Out-of-Bag error was used for model selection and validation. Transportation mode recognition models contributed to high classification accuracies (e.g., up to 98%). Thus, data obtained from the smartphone sensors were found to provide important information to distinguish between transportation modes. Driver violation (i.e., red light running) prediction models were resulted in high accuracies (i.e., up to 99.9%). Time to intersection (TTI), distance to intersection (DTI), the required deceleration parameter (RDP), and velocity at the onset of a yellow light were among the most important factors in violation prediction. Based on logistic regression analysis, movement type and presence of other users were found as significant factors affecting the probability of red light violations by cyclists at signalized intersections. Also, presence of other road users and age were the significant factors affecting violations at stop-controlled intersections. In case of stop-controlled intersections, violation prediction models resulted in error rates of 0 to 10 percent depending on how far from the intersection the prediction task is conducted. / Ph. D.