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<p>  </p> <p>Most new vehicles manufactured in the last two years are connected vehicles (CV) that transmit back to the original equipment manufacturer at near real-time fidelity. These CVs generate billions of data points on an hourly basis, which can provide valuable data to agencies to improve the overall mobility experience for users. However, with this growing scale of CV big data, stakeholders need efficient and scalable methodologies that allow agencies to draw actionable insights from this large-scale data for daily operational use. This dissertation presents a suite of applications, illustrated through case studies, that use CV data for assessing and managing mobility and safety on surface transportation systems.</p> <p>A systematic review of construction zone CV data and crashes on Indiana’s interstates for the calendar year 2019, found a strong correlation between crashes and hard-braking event data reported by CVs. Trajectory-level CV data analyzed for a construction zone on interstate 70 provided valuable insights into travel time and traffic signal performance impacts on the surrounding road network. An 11-state analysis of electric and hybrid vehicle usage in proximity to public charging stations highlighted regions under and overserved by charging infrastructure, providing quantitative support for infrastructure investment allocations informed by real-world usage trends. CV data were further leveraged to document route choice behavior during active freeway incidents providing stakeholders with a historical record of observed routing patterns to inform future alternate route planning strategies. CV trajectory data analysis facilitated the identification of trip chaining activities resulting in improved outlier curation and realistic estimation of travel time metrics.</p> <p>The overall contribution of this thesis is developing analytical big data procedures to process billions of CV data records to inform engineering and public policy investments in infrastructure capacity, highway safety improvements, and new EV infrastructure. These scalable and efficient analysis techniques proposed in this dissertation will help agencies at the federal, state and local levels in addition to private sector stakeholders in assessing transportation system performance at-scale and enable informed data-driven decision making.</p>

<p dir="ltr">Cellular-Vehicle to Everything or C-V2X refers to vehicles connected to their surroundings using cellular based networks. With the rise of connected vehicles, C-V2X is emerging as one of the major standards for message transmission in automotive scenarios. The project aims to study the feasibility of C-V2X-based message transmission by building a prototype system, named <b>RampCast</b>, for transmitting traffic information from roadside message boards to vehicles. The RampCast framework would also implement geocasting-based algorithms to deliver messages to targeted vehicles. These algorithms focus on improving location-based message delivery using retransmission and prioritization strategies. The messages used for transmission are selected from the 511 web application built by INDOT, which contains the live traffic information for the state of Indiana which includes Travel Time information, Crash Alerts, Construction Alerts etc.</p><p dir="ltr">The major objectives of this project consist of building the RampCast prototype, a system implementing C-V2X networks using a Software Defined Radio(SDR). The RampCast system implements a Publisher-subscriber messaging architecture with the primary actors being a Road Side Unit(RSU) and a Vehicle Onboard Unit(OBU). A data store containing traffic messages sourced from the 511 API is set up to be the input to the RampCast system. An end-to-end message transmission pipeline is built that would implement message transmission algorithms on the RSU and OBU side. Finally, the performance of message transmission on the RampCast system is evaluated using a metrics-capturing module. The system was evaluated on a test track in Columbus, Indiana. The performance metrics of the system were captured and analyzed, and the system met the key performance indicators for Latency, Packet Delivery Rate, and Packet Inter-reception Rate. The results indicate the satisfactory performance of the C-V2X standard for message transmission in the RampCast traffic guidance scenarios.</p>

Developments of commercial self-driving vehicle (SDV) technology has a potential for a paradigm shift in traffic control technology. Contrary to some previous research approaches, this research argues that, as any other technology, traffic control technology for SDVs should be developed having in mind improved quality of life through a sustainable developmental approach. Consequently, this research emphasizes upon the social perspective of sustainability, considering its neglect in the conventional control principles, and the importance of behavioral considerations for accurately predicting impacts upon economic or environmental factors. The premise is that traffic control technology can affect the distribution of advantages and disadvantages in a society, and thus it requires a framework of social justice. The framework of social justice is inspired by John Rawls' Theory of Justice as fairness, and tries to protect the inviolability of each user in a system. Consequently, the control objective is the distribution of delay per individual, considering for example that the effect of delay is not the same if a person is traveling to a grocery store as opposed to traveling to a hospital. The notion of social justice is developed as a priority system, with end-user responsibility, where user is able to assign a specific Priority Level for each individual trip with SDV. Selected Priority Level is used to determine the right-of-way for each self-driving vehicle at an intersection. As a supporting mechanism to the priority system, there is a structure of non-monetary Priority Credits. Rules for using Priority Credits are determined using knowledge from social science research and through empirical evaluation using surveys, interviews, and web-based experiment. In the physical space, the intersection control principle is developed as hierarchical self-organization, utilizing communication, sensing, and in-vehicle technological capabilities. This distributed control approach should enable robustness against failure, and scalability for future expansion. The control mechanism has been modeled as an agent-based system, allowing evaluation of effects upon safety and user delay. In conclusion, by reaching across multiple disciplines, this development provides the promise and the challenge for evolving SDV control technology. Future efforts for SDV technology development should continue to rely upon transparent public involvement and understanding of human decision-making. / Ph. D.

The aim of this research was to explore the piano method and teaching philosophy practised by the Russian piano pedagogue, Natalia Pirozerskaya. Her piano method is not well known and as a former student of hers I firmly believe in its values and implications for piano pedagogy. The focus of her teaching is a holistic concept of the harmonious (organic) development of the artist-musician as expounded by Yakovlev in relation to vocal art and higher nervous activity. Pirozerskaya’s piano methodology addresses the delicate relations between the inner life of the individual and the process of piano playing. She advocates a self-connected pianism characterised by the integration of all processes with the self. Pirozerskaya links the aesthetic values of Glinka’s artistic tradition to piano pedagogy in relation to creative potentialities and self-expression. The participants of this intrinsic case study were Natalia Pirozerskaya, Olga Tsihelashvili (the researcher) and five of Tsihelashvili’s piano students in Johannesburg. I interviewed the five piano students and through validation strategy of crystallisation the themes emerged. Based on the interviews with the students several themes were identified: 1) They explained that they experience an interconnected unity which can be described as oneness; 2) There was also a sense of deep fondness in the way the pupils shared their feelings about the piano; 3) They pinpointed the existence of an inner driving force – a form of artistic energy emerging as a tangible component of their pianistic process; 4) Concerning the special piano touch advocated by Pirozerskaya, all the students unanimously agreed that it is an effortless transmission from the fingertips straight into the piano which “just happens by itself”. They willingly demonstrated this touch on the piano, thus enriching the evidence; 5) With regard to the physical interaction with the instrument, the students observed the element of the opposing spring-support and the feeling of lightness in the body, essential in Pirozerskaya’s piano technique; 6) They mentioned that when they play they experience a deeper perception of the self; 7) Regarding teaching strategies, a rigid teaching approach and inexpressive mechanical piano playing, their spontaneous reactions proved that they have assimilated the fundamentals of Pirozerskaya’s self-connected pianism and developed a deep insight into the pianistic process. / PhD (Music Performance), North-West University, Potchefstroom Campus, 2015

The aim of this research was to explore the piano method and teaching philosophy practised by the Russian piano pedagogue, Natalia Pirozerskaya. Her piano method is not well known and as a former student of hers I firmly believe in its values and implications for piano pedagogy. The focus of her teaching is a holistic concept of the harmonious (organic) development of the artist-musician as expounded by Yakovlev in relation to vocal art and higher nervous activity. Pirozerskaya’s piano methodology addresses the delicate relations between the inner life of the individual and the process of piano playing. She advocates a self-connected pianism characterised by the integration of all processes with the self. Pirozerskaya links the aesthetic values of Glinka’s artistic tradition to piano pedagogy in relation to creative potentialities and self-expression. The participants of this intrinsic case study were Natalia Pirozerskaya, Olga Tsihelashvili (the researcher) and five of Tsihelashvili’s piano students in Johannesburg. I interviewed the five piano students and through validation strategy of crystallisation the themes emerged. Based on the interviews with the students several themes were identified: 1) They explained that they experience an interconnected unity which can be described as oneness; 2) There was also a sense of deep fondness in the way the pupils shared their feelings about the piano; 3) They pinpointed the existence of an inner driving force – a form of artistic energy emerging as a tangible component of their pianistic process; 4) Concerning the special piano touch advocated by Pirozerskaya, all the students unanimously agreed that it is an effortless transmission from the fingertips straight into the piano which “just happens by itself”. They willingly demonstrated this touch on the piano, thus enriching the evidence; 5) With regard to the physical interaction with the instrument, the students observed the element of the opposing spring-support and the feeling of lightness in the body, essential in Pirozerskaya’s piano technique; 6) They mentioned that when they play they experience a deeper perception of the self; 7) Regarding teaching strategies, a rigid teaching approach and inexpressive mechanical piano playing, their spontaneous reactions proved that they have assimilated the fundamentals of Pirozerskaya’s self-connected pianism and developed a deep insight into the pianistic process. / PhD (Music Performance), North-West University, Potchefstroom Campus, 2015

Complexity management is the key to success for mobile machinery where the variety of customers and applications requires individual solutions. This paper presents the way Bosch Rexroth supports each OEM with hydraulic controls – from specification and conception towards application and production. It gives examples how platforms and processes are optimized according to the customer needs. The demand for flexible, short-term deliveries is met by an agile production with the technologies of Industry 4.0.

In this thesis we study various ways in which every two general points on a variety can be connected by curves of a fixed genus, thus mimicking the notion of a rationally connected variety but for arbitrary genus. We assume the existence of a covering family of curves which dominates the product of a variety with itself either by allowing the curves in the family to vary in moduli, or by assuming the family is trivial for some fixed curve of genus g. A suitably free curve will be one with a large unobstructed deformation space, the images of whose deformations can join any number of points on a variety. We prove that, at least in characteristic zero, the existence of such a free curve of higher genus is equivalent to the variety being rationally connected. If one restricts to the case of genus one, similar results can be obtained even allowing the curves in the family to vary in moduli. In later chapters we study algebraic properties of such varieties and discuss attempts to prove the same rational connectedness result in positive characteristic.