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Eco-driving has acquired great importance in recent years because it is a way to reduce energy consumption that can be applied to any type of vehicle. However, for these rules to be applied requires a process of continuous learning and motivation. For this reason many eco-driving assistants have emerged. This paper presents Green Driving, a driver safety app for Android that detects inattentive driving behaviors and gives corresponding feedback to drivers, scoring their driving and alerting them in case their behaviors are unsafe.  It’s about changing a person’s driving behavior by providing some kind of advice to the driver.  I have worked on an algorithm that is meant to reduce the fuel consumption of users. The algorithm is deployed in an android application. This application “Green Driving” is aimed at users with cars. It is basically like an assistant, suggesting the user when he should make the right gear changes, when to increase/decrease speed and avoids hard braking and rapid acceleration and etc. It is in order to drive economically, ecologic and in turn save money and safety. This is a smart way of letting a user drive economically and ecologic since almost everyone has an Android smartphone now.

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What is the driving strategy? creative business management, state of the art technology or smart textiles, focussing on the T&C industry of Pakistanthesis is about finding out the strategy which is driving the Pakistani textile industry and the problems this industry is facing and the problems in terms of creative business management, state of the art technology or the smart textiles that are keeping the industry for making further progress / Program: Master programme in Applied Textile Management

Orientador: Romualdo Dias / Resumo: A que nos conduz o pensamento de Hannah Arendt? Neste estudo concebe-se o pensamento de Hannah Arendt a partir de uma dimensão inerente a sua condição de “conduzir”, nos marcos do sentido etimológico da “pedagogia”. Faz-se um exercício de cartografia do seu pensamento, com uma demarcação sobre aqueles escritos que nos permitem aproximar melhor da condição humana de seu exercício na filosofia. Procuram-se em algumas correspondências, memórias, entrevistas e discursos, as marcas de um pensamento que nos auxiliam a pensar o sentido de “pertencimento”, na relação do sujeito com o mundo, e o sentido do “reconhecimento”, na relação do sujeito com o outro seu semelhante. A resposta à pergunta nuclear alcança a sua elaboração final com a definição do exercício mesmo do pensamento, em uma solução de acerto do sujeito consigo mesmo. Discute-se o sentido do pensar, enquanto uma prática, ao mesmo tempo individual e social, como a expressão da responsabilidade que um sujeito assume diante do outro e diante do mundo. Tais elementos da composição do sujeito a partir do reconhecimento do mundo, do outro e de si, são trazidos para a reflexão dos desafios de uma educação diferente, que tenha-os como base de condução. / Abstract: Where does Hannah Arendt thoughts lead us? In this study Hannah Arendt's thinking is conceived from a dimension inherent in his condition of "driving" within the framework of the etymological sense of "pedagogy". An exercise of cartography of his thought is made, with a demarcation on those writings that allow us to better approach the human condition of his exercise in philosophy. We seek in some correspondences, memories, interviews and speeches, the marks of a thought that help us think the sense of "belonging", regarding the subject with the world, and the sense of "recognition", regarding the subject with the other of his resembling. The answer to the nuclear question reaches its final elaboration with the definition of the exercise of thought, in a solution of hits of the subject's own self-satisfaction. It discusses the meaning of thinking, as a practice, both individual and social, as an expression of the responsibility that one admits before the other and before the world. Such elements of one’s composition from the recognition of the world, from the other and from itself, are brought to the reflection of the challenges of a different education that has them as a basis of conduction. / Mestre

The automation of navigation for different kinds of vehicles is a research problem of great interest. This problem has applications with unmanned aerial vehicles (UAVs) as well as manned vehicles such as cars and planes. The goal of an autonomous vehicle is to navigate safely from one point to another given a set of high-level instructions and data from a set of sensors. This thesis explores an implementation of a modular approach for autonomously driving taxiing planes before proposing methods for object tracking using a LIDAR sensor which can be incorporated into the autonomous driving pipeline. The taxiing algorithm regresses waypoints for the plane to follow given a high-level driving goal such as ”turn left” or ”go straight”, along with RGB images taken from the cockpit and wings. Waypoints are then used with a separate control system to taxi the plane. The training and testing of this autonomous aircraft is done in a photo-realistic simulator which has been adapted for this task. The policy developed in this fashion is capable of learning how to go straight and how to turn. However, the driving policy is not trained to react to other moving objects. To address this issue, and due to the superior reliability of LIDAR over RGB sensors, an object tracking method using only LIDAR point clouds is proposed. The proposed method uses a novel 3D Siamese network to obtain a similarity score between a model and candidate object point clouds. This similarity score is shown to work for tracking by applying it using an exhaustive search and obtaining improved performances when compared with simple baselines. For a realistic application, the similarity score is applied using candidates provided by a search on the BEV projection of the LIDAR point cloud. This method is shown to provide improved tracking results over other search strategies when using a lower number of candidates.

In this thesis, the author has drawn on a large body of international research and his own surveys, interviews and experience to examine the interrelated issues of Fatigue and Stress in the long distance sector of the Australian road transport industry. Two major Australian studies are studied in some detail: House of Representatives Standing Committee on Communications, Transport and the Arts: Beyond the Midnight Oil, Report into an Inquiry into Managing Fatigue in Transport, Parliament of the Commonwealth of Australia October 2000 (The Neville Report) and Quinlan, Michael, Report of an Inquiry into Safety in the Long Haul Sector of the Road Trucking Industry, Motor Accident Authority of NSW, Nov 2001 and the United States of America: Belzer, Michael H., Sweatshop on Wheels: Winners and Losers in Trucking Deregulation, Oxford University Press, New York, 2000, has direct relevance to this study, especially as it relates to the underlying causes of much of the fatigue and stress suffered by long distance drivers. An extensive literature review was undertaken to help form an understanding of the issues and developments relating to workplace fatigue and stress, in several different settings, including the military, aviation and general industry. The author has surveyed a number of long distance drivers and interviewed managers and others linked to this industry, analysed their responses and reported on the findings. Since the commencement of this study, several significant changes have occurred in the relevant legislation and its application, and where possible these have been incorporated into the study / Master of Science (Hons)

Road trauma is recognized as a major public health problem worldwide (particularly for younger drivers), and risky driving has been identified as an important contributor to road crashes. It is often assumed that similar factors influence all risky driving behaviours, although direct and systematic examination of the differences between risky driving behaviours in terms of precipitating factors is lacking. The present thesis sought to undertake a systematic investigation of relevant factors in the prediction of four key risky driving behaviours (speeding, drink-driving, driving while fatigued, and not wearing seat belts). Four versions of a Risky Driving Questionnaire were developed to assess beliefs, personality factors and behavioural intentions, in relation to each of the four behaviours. Four versions of the Implicit Association Test were developed to assess attitudes toward each of the four behaviours, without reliance on self-report (in terms of the relative strength of pairs of associations). Data were collected from a student sample (N=215: Study 1), as well as urban (N=587) and rural (N=422) general population samples (Study 2), and regression models were examined for each of the four behaviours, with interaction terms to assess moderations involving perceived risk. Mediations involving gender were also assessed. Results indicate that different risky driving behaviours are predicted by different factors. For example, in the urban sample, speeding was predicted by driver anger and illusory invulnerability, drink driving was predicted by peer influence, driving while fatigued was predicted by the perceived benefits of not driving while fatigued, and not wearing seat belts was predicted by the (sensation seeking x illusory invulnerability) interaction. Results also suggest that different predictors of risky driving behaviours are relevant for different driver populations. For example, speeding was predicted by authority rebellion in the urban sample, and by sensation seeking in the rural sample. Observed moderations of perceived risk suggest that relationships between perceived risk and risky driving may differ for males versus females, and for low versus high sensation seekers. Findings suggest that future road safety interventions should be based on research of the determinants of individual risky driving behaviours, and in specific driver populations.

Driving simulation is widely accepted as a safe, effective, and economical alternative for investigating driver behavior in a variety of contexts. However, in order to apply simulator-based research results to real-world settings, the performance measures acquired through simulated driving experiments must first be validated. This research was aimed at validating the Oregon State University Driving Simulator based on speed, acceleration, and deceleration data. The validation effort consisted of a road test and a simulator test. The road test was completed on a five-lane urban principal arterial in Corvallis, Oregon, and the simulated environment matched the field conditions as closely as possible. Ten subjects participated in both tests. Minimum speed, maximum speed, average speed, 85th-percentile speed, maximum acceleration and maximum deceleration data variables were analyzed using graphical comparisons as well as two-sample paired t-tests. With the exception of minimum speed, all data variables showed statistically significant differences on at least one of the three test sections. However, the researchers considered the magnitude of these differences to be insignificant in a practical setting (on average, 3.5 mph for speed variables and 0.80 ft/s�� for acceleration and deceleration variables). Thus, the results of this research confirm the validity of the OSU driving simulator with regards to speed and acceleration. / Graduation date: 2013

The project of enhancing traffic safety is a continuous effort that will not cease in its aspirations. In fact, as technology evolves and additional digital artifacts are implemented into our cars, the attention to traffic safety becomes even more important. Driving a car through urban and rural environments is a cognitively challenging task that especially tax attentional resources, and as more artifacts compete for our attention during driving, the adherence to traffic safety is vital. Thus, factors that influence driving ability, such as sleep, nutrition and – perhaps - emotions are of great interest. An earlier study by Bulmash et al. (2006) hypothesized that individuals with Major Depressive Disorder would perform worse than controls in a study using a driving simulator; their hypothesis was confirmed. The purpose of this thesis is to investigate whether dysphoric individuals show reduced driving performance relative to controls. The notion of dysphoria refers to mild depression in a non-clinical sense. This was investigated using a driving simulator that measured Lateral Positioning (Standard Deviation of Lateral Position - SDLP) on the road, Brake Reaction Time (BRT) and performance on a secondary task (Peripheral Detection Task - PDT). Dysphoric individuals were identified using the Major Depression Inventory (MDI). The hypothesis was partly confirmed, as dysphoric individuals did indeed show more variable positioning on the road. However, performance differences on PDT and BRT were not significant. The results indicate that the negative influence of mood on driving ability is not a discrete phenomenon primarily manifested in individuals with clinical depression, but is rather a continuous phenomenon. The results should be of special interest to clinicians that evaluate individuals with depressive tendencies, as well as the academic community in general since the insights into the impact of emotions on cognitive performance are inconclusive and still not clearly understood. These results might also be of interest in other domains of high complexity, where human performance is of great importance, such as Command and Control, nuclear power plants and control rooms in general.