Traffic Cop is a game where the player become a traffic police officer trainee and direct the traffic to reduce the car accident rate in MA. The game is a top-down view traffic simulation and the player need to respond to the violations correctly. The game is aimed at new drivers ages from 16-24 and the purpose is to change the drivers' attitude about safe driving. Player will learn what they should stay focused on while driving and what the consequences may be when they choose to violate the traffic signal.

The human brain acts as an intelligent sensor by helping in effective signal communication and execution of logical functions and instructions, thus, coordinating all functions of the human body. More importantly, it shows the potential to combine prior knowledge with adaptive learning, thus ensuring constant improvement. These qualities help the brain to interact efficiently with both, the body (brain-body) as well as the environment (brain-environment). This dissertation attempts to apply the brain-body-environment interactions (BBEI) to elevate human existence and enhance our day-to-day experiences. For instance, when one stepped out of the house in the past, one had to carry keys (for unlocking), money (for purchasing), and a phone (for communication). With the advent of smartphones, this scenario changed completely and today, it is often enough to carry just one's smartphone because all the above activities can be performed with a single device. In the future, with advanced research and progress in BBEI interactions, one will be able to perform many activities by dictating it in one's mind without any physical involvement. This dissertation aims to shift the paradigm of existing brain-computer-interfaces from just ‘control' to ‘monitor, control, enhance, and restore' in three main areas - healthcare, transportation safety, and cryptography. In healthcare, measures were developed for understanding brain-body interactions by correlating cerebral autoregulation with brain signals. The variation in estimated blood flow of brain (obtained through EEG) was detected with evoked change in blood pressure, thus, enabling EEG metrics to be used as a first hand screening tool to check impaired cerebral autoregulation. To enhance road safety, distracted drivers' behavior in various multitasking scenarios while driving was identified by significant changes in the time-frequency spectrum of the EEG signals. A distraction metric was calculated to rank the severity of a distraction task that can be used as an intuitive measure for distraction in people - analogous to the Richter scale for earthquakes. In cryptography, brain-environment interactions (BBEI) were qualitatively and quantitatively modeled to obtain cancelable biometrics and cryptographic keys using brain signals. Two different datasets were used to analyze the key generation process and it was observed that neurokeys established for every subject-task combination were unique, consistent, and can be revoked and re-issued in case of a breach. This dissertation envisions a future where humans and technology are intuitively connected by a seamless flow of information through ‘the most intelligent sensor', the brain.

Transformational leadership (TL) has been found popular in many industries in the United States and abroad for the perceived transformational leaders' effectiveness in improving occupational safety. There is a lack of empirical evidence to confirm these claims for safe occupational driving. This phenomenological study attempted to fill this knowledge gap in the electric utility industry where employees must drive in all weather conditions to restore power to customers. The conceptual framework for the study was based on leadership and motivation theories of Burns and Maslow. The research questions explored the influence of (a) TL on safe driving performance improvement in organizations and (b) emotional intelligence (EI) on leaders' efficiency to improve safe driving performance in organizations. These questions were addressed using a 14-item in-depth, open-ended interview questionnaire by a convenience sample of 18 management and 12 union-represented personnel drawn from 5 U.S. electric utility companies using the snowball method. Data were analyzed using NVivo 10 software and were interpreted using the methodological framework of Leedy and Ormrod, and Maxwell. The findings suggested that (a) TL influenced safe driving performance through these leaders' idealized influence, inspirational motivation, and intellectual stimulation; and (b) EI ineffectively and unreliably influenced safe driving improvement, but it improved organizational trust through the leaders' empathy and drivers' empowerment. Individualized consideration, while acknowledged as desirable, was least important and was widely lacking. The implications for positive social change include promoting TL style in other industries, raising employees' commitment and contribution to safe driving performance improvement, and improving organizational trust as well as public safety.

The result of this diploma thesis is based on the collected data, to evaluate the success of the detection of narcotic and psychotropic substances by a policeman, with subsequent measuring and professional expression. The thesis is divided into three parts. In the theoretical part, this is mainly an evaluation of existing information dealing with drug issues related to road accidents. In the analytical part, the thesis deals with real methods and equipment with OPL detection. The practical part contains data obtained from qualitative research, through interviews, which are compared and evaluated with a quantitative survey of the questionnaire survey, which can help to improve expert judgment and improve transport safety.

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