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With the evolution of technologies, mixed-signal system integration is becoming necessary for combining heterogeneous functions such as high-speed processors, radio frequency (RF) circuits, memory, microelectromechanical systems (MEMS), sensors, and optoelectronic devices. This kind of integration is required for convergent microsystems that support communication and computing capabilities in a tightly integrated module. A major bottleneck with such heterogeneous integration is the noise coupling between the dissimilar blocks constituting the system. The noise generated by the high-speed digital circuits can couple through the power distribution network (PDN) and this noise can transfer to sensitive RF circuits, completely destroying the functionality of noise-sensitive RF circuits. One common method used for mixed-signal integration in the package is splitting the power and/or ground planes. The gap in the power and ground planes can partially block the propagation of electromagnetic waves. However, electromagnetic energy can still couple through the split, especially at frequencies greater than 1 GHz. The AI-EBG structure in this dissertation has been developed to suppress unwanted noise coupling in mixed-signal systems and this AI- EBG structure shows excellent isolation (-80 dB ~ -140 dB), which results in a noise coupling-free environment in mixed-signal systems. The AI-EBG structure would be part of the power distribution network (PDN) in systems and is expected to have a significant impact on noise suppression and isolation in mixed-signal systems in future.

Traffic signal control systems have been tremendously improved since the first colored traffic signal light was installed in London in December 1868. There are many different types of traffic signal control systems that can be categorized into three major control types: fixed-time, actuated, and adaptive. Choosing a proper traffic signal system is very important since there exists no perfect signal control strategy that fits every traffic network. One example is traffic signal coordination, which is the most widely used traffic signal control system. It is believed that performance measures, such as travel times, vehicle delay, and number of stops, can be enhanced by synchronizing traffic signals over a corridor. However, it is not always true that the coordination will have the same benefits for all the traffic in the network. Most of the research on coordination has focused only on strengthening the major movement along the coordinated routes without considering system-wide impacts on other traffic. Therefore, before implementing a signal control system to a specific traffic network, a thorough investigation should be conducted to see how the control strategy may impact the entire network in terms of the objectives of each type of traffic control system. This dissertation first considers two different kinds of systematic performance analyses for traffic signal control systems. Then, it presents two types of signal control strategies that account for current issues in coordination and priority control systems, respectively. First, quantitative analysis of smooth progression for traffic flow is investigated using connected vehicle technology. Many studies have been conducted to measure the quality of progression, but none has directly considered smooth progression as the significant factor of coordination, despite the fact that the definition of coordination states that the goal is to have smooth traffic flow. None of the existing studies concentrated on measuring a continuous smooth driving pattern for each vehicle in terms of speed. In order to quantify the smoothness, this dissertation conducts an analysis of the speed variation of vehicles traveling along a corridor. A new measure is introduced and evaluated for different kinds of traffic control systems. The measure can be used to evaluate how smoothly vehicles flow along a corridor based on the frequency content of vehicle speed. To better understand the impact of vehicle mode, a multi-modal analysis is conducted using the new measure. Second, a multi-modal system-wide evaluation of traffic signal systems is conducted. This analysis is performed for traffic signal coordination, which is compared with fully actuated control in terms of a systematic assessment. Many optimization models for coordination focus mainly on the objective of the coordinated route and do not account for the impacts on side street movements or other system-wide impacts. In addition, multi-modality is not considered in most optimized coordination plans. Thus, a systematic investigation of traffic signal coordination is conducted to analyze the benefits and impacts on the entire system. The vehicle time spent in the system is measured as the basis of the analysis. The first analysis evaluates the effect of coordination on each route based on a single vehicle mode (regular passenger vehicles). The second analysis reveals that how multi-modality affects the performance of the entire system. Third, in order to address traffic demand fluctuation and traffic pattern changes during coordination periods, this dissertation presents an adaptive optimization algorithm that integrates coordination with adaptive signal control using data from connected vehicles. Through the algorithm, the coordination plan can be updated to accommodate the traffic demand variation and remain optimal over the coordination period. The optimization framework consists of two levels: intersection and corridor. The intersection level handles phase allocation in real time based on connected vehicle trajectory data, while the corridor level deals with the offsets optimization. The corridor level optimization focuses on the performance of the vehicle movement along the coordinated phase, while at the intersection level, all movements are considered to create the optimal signal plan. The two levels of optimizations apply different objective functions and modeling methodologies. The objective function at the intersection level is to minimize individual vehicle delay for both coordinated and non-coordinated phases using dynamic programming (DP). At the corridor level, a mixed integer linear programming (MILP) is formulated to minimize platoon delay for the coordinated phase. Lastly, a peer priority control strategy, which is a methodology that enhances the multi modal intelligent traffic signal system (MMITSS) priority control model, is presented based on peer-to-peer (P2P) and dedicated short range communication (DSRC) in a connected vehicle environment. The peer priority control strategy makes it possible for a signal controller to have a flexible long-term plan for prioritized vehicles. They can benefit from the long-term plan within a secured flexible region and it can prevent the near-term priority actions from having a negative impact on other traffic by providing more flexibility for phase actuation. The strategy can be applied to all different modes of vehicles such as transit, freight, and emergency vehicles. Consideration for far side bus stops is included for transit vehicles. The research that is presented in this dissertation is constructed based on Standard DSRC messages from connected vehicles such as Basic Safety Messages (BSMs), Signal Phasing and Timing Messages (SPaTs), Signal Request Messages (SRMs), and MAP Messages, defined by Society of Automotive Engineers (SAE) (SAE International 2016).

Managing traffic during oversaturated conditions is a current challenge for practitioners due to the lack of adequate tools that can handle such situations. Unlike under-saturated conditions, operation of traffic signal systems during congestion requires careful consideration and analysis of the underlying causes of the congestion before developing mitigation strategies. The objectives of this research are to provide a practical guidance for practitioners to identify oversaturated scenarios and to develop a multi-objective methodology for selecting and evaluating mitigation strategy/ or combinations of strategies based on a guiding principles. The research focused on traffic control strategies that can be implemented by traffic signal systems. The research did not considered strategies that deals with demand reduction or seek to influence departure time choice, or route choice. The proposed timing methodology starts by detecting network's critical routes as a necessary step to identify the traffic patterns and potential problematic scenarios. A wide array of control strategies are defined and categorized to address oversaturation problematic scenarios. A timing procedure was then developed using the principles of oversaturation timing in cycle selection, split allocation, offset design, demand overflow, and queue allocation in non-critical links. Three regimes of operation were defined and considered in oversaturation timing: (1) loading, (2) processing, and (3) recovery. The research also provides a closed-form formula for switching control plans during the oversaturation regimes. The selection of optimal control plan is formulated as linear integer programming problem. Microscopic simulation results of two arterial test cases revealed that traffic control strategies developed using the proposed framework led to tangible performance improvements when compared to signal control strategies designed for operations in under-saturated conditions. The generated control plans successfully manage to allocate queues in network links. / Ph. D.

Access to highways from a local firehouse is a major problem for emergency services. Motorists often do not see flashing lights or hear sirens from the approaching emergency vehicles (EV) until emergency vehicles reach the highway entrance, often too late to take appropriate action. Many locations have installed special signals called emergency traffic signal systems (ETSS) or used signal preemption to notify motorists and to stop traffic to allow the emergency vehicle to enter the highway safely. This thesis will examine the effectiveness of one such installation at the intersection along U.S.1 at Beedo Street and some of the impacts it has on highway traffic. The evaluation of the said installation is carried out in terms of delay to EV; conflict potential between EV and other vehicles and response of the motorists to the ETSS. This thesis also proposes two alternative designs of ETSS to improve the existing signal system. / Master of Science

This thesis describes the architecture, verification, qualification, and packaging of a 16-channel silicon-germanium (SiGe) Remote Electronics Unit (REU) designed for use in extreme environment applications encountered on NASA's exploration roadmap. The SiGe REU was targeted for operation outside the protective electronic "vaults" in a lunar environment that exhibits cyclic temperature swings from -180ºC to 120ºC, a total ionizing dose (TID) radiation level of 100 krad, and heavy ion exposure (single event effects) over the mission lifetime. The REU leverages SiGe BiCMOS technological advantages and design methodologies, enabling exceptional extreme environment robustness. It utilizes a mixed-signal Remote Sensor Interface (RSI) ASIC and an HDL-based Remote Digital Control (RDC) architecture to read data from up to 16 sensors using three different analog channel types with customizable gain, current stimulus, calibration, and sample rate with 12-bit analog-to-digital conversion. The SiGe REU exhibits excellent channel sensitivity throughout the temperature range, hardness to at least 100 krad TID exposure, and single event latchup immunity, representing the cutting edge in cold-capable electronic systems. The SiGe REU is the first example within a potential paradigm shift in space-based electronics.

Motivated by recent advances in vehicle positioning and vehicle-to-infrastructure (V2I) communication, traffic signal controllers are able to make smarter decisions. Most of the current state-of-the-practice signal priority control systems aim to provide priority for only one mode or based on first-come-first-served logic. Consideration of priority control in a more general framework allows for several different modes of travelers to request priority at any time from any approach and for other traffic control operating principles, such as coordination, to be considered within an integrated signal timing framework. This leads to provision of priority to connected priority eligible vehicles with minimum negative impact on regular vehicles. This dissertation focuses on providing a real-time decision making framework for multi modal traffic signal control that considers several transportation modes in a unified framework using Connected Vehicle (CV) technologies. The unified framework is based on a systems architecture for CVs that is applicable in both simulated and real world (field) testing conditions. The system architecture is used to design both hardware-in-the-loop and software-in-the-loop CV simulation environment. A real-time priority control optimization model and an implementation algorithm are developed using priority eligible vehicles data. The optimization model is extended to include signal coordination concepts. As the penetration rate of the CVs increases, the ability to predict the queue more accurately increases. It is shown that accurate queue prediction improves the performance of the optimization model in reducing priority eligible vehicles delay. The model is generalized to consider regular CVs as well as priority vehicles and coordination priority requests in a unified mathematical model. It is shown than the model can react properly to the decision makers' modal preferences.

The aim of this thesis is to determine the size of overshoot produced at the output of a linear continuous second order system controlled by pulse width modulation depending on the period and duty cycle of the modulation and system parameters. This thesis contains analytic calculation of the size of overshoot produced at the output of the second order system with damping ratio > 0, except the damping ratio equals to 1 (i.e. both underdamped and damped system) depending on period and duty cycle of the modulation. This thesis also includes a comparison of partial analytic results to numerical simulation in Matlab program and also with measurement at second order system model.

Ställverk 85 som används av Trafikverket idag är ett signaldistributionssystem och börjar komma till slutet av sin livslängd vilket har resulterat i brist på reservdelar. Målet med det här arbetet är att identifiera de mest kritiska komponenterna i centralenheten och utdelssystemet i ställverk 85 samt utreda varför dessa komponenter felar. För att uppnå målet används det metoder som litteraturstudie, insamling av dokumentation från Trafikverket, workshop hos leverantörerna av ställverk 85 Alstom samt FMEA för att modellera fram resultat. Resultat från arbetet visar att åska är en bakomliggande orsak till att kretskorten i ställverk 85 felar för båda kretskorten som har studerats under arbetet, MDM- och TRE-kort. Utöver överspänningar vid blixtnedslag visar arbetet att transistorerna i TRE-kortet är en komponent som felar i en hög grad. För MDM-kortet finns det inte en specifik komponent som felar mer än någon annan. / Interlocking system 85, which is used by the Swedish Transport Administration today, is a signal distribution system and is coming to the end of its useful life, which has resulted in a lack of spare parts. The goal of this work is to identify the most critical components in the central unit and distribution system in interlocking system 85 and to investigate why these components fail. To achieve this goal, methods such as literature study, collection of documentation from the Swedish Transport Administration, workshop at interlocking system 85 supplier Alstom and FMEA are used to model results. Results from the work show that lightning is a major reason why the circuit boards in switchgear 85 fail for both circuit boards that have been studied during the work, MDM, and TRE boards. In addition to the lightning, the work shows that the transistors in the TRE-board are a component that fails to a great degree. For the MDM-board there is not a specific component that fails more than the other.