Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 16 of 16 for “"Driving style"”.
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Towards situation-aware driving style adaptation
… to implementing acceptable and comfortable driving characteristics for future driver assistance systems and autonomous vehicles. This dissertation explores the heterogeneity of human driving behavior, particularly emphasizing lateral driving behavior and individual driving style preferences …
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Investigating Tafheet as a Unique Driving Style Behaviour
… been undertaken on the detection of different styles of behaviour such as fatigue and drunken behaviour of the drivers; however, owing to complexity of human behaviour, a lot has yet to be explored in this field to assess different styles of the abnormal behaviour to make roads safer for …
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Identifying Functional Relationships in Driver Risk Taking: An Intelligent Transportation Assessment of Problem Behavior and Driving Style
… during consecutive 15 second intervals of a driving trial, and b) the safe alternative when a safe behavior opportunity was available. Methods of data coding were assessed for practical use, reliability, and sensitivity to variation in driving style. A factor analysis of at-risk driving …
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The effects of driving style and vehicle performance on the real-world fuel consumption of U.S. light-duty vehicles
… fleet. One way to do this is through changes in driving style, specifically through reductions in driving aggressiveness. The role of vehicle performance is particularly interesting because of the recognized tradeoff between vehicle performance and certified fuel consumption and because more …
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Assessing Driver Behavior in the Context of Driving Environment
… data that does not capture the dynamic nature of driving tasks. The widespread use of naturalistic driving data in recent years allows researchers the capability to capture real-time driver behavior and be able to infer an individual’s driving style. However, current studies focus largely on …
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Real-Time Optimization Based Power Flow Controller for Energy Consumption and Emissions Reduction in a Parallel HEV
… energy consumption by approximately 6.2% in city driving style and 5.4% in highway driving style. The optimization based controller was further modified to replace the shift schedule with a shift logic. The real-time energy and emission minimization controller using shift logic (ReTEEM-SL) reduced …
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Simulation of energy efficiency improvements on commuter railways
… introduction of coasting points and improved driving style have the potential to provide up to a 50% increase in energy efficiency. In particular, the study shows that a 23% reduction in energy consumption through regeneration; a 22% energy reduction with the strategic placement of coasting …
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Forecasting Markers of Habitual Driving Behaviors Associated with Crash Risk
… variables and readings of the vehicle’s driving parameters, selecting the most informative features out of them to feed an extreme gradient boosting machine learning algorithm. The model operates upon these select features in a time window covering the recent past to make short-term …
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A vehicle classification algorithm based on telematics data
… to some extent, the dominating signal comes from driving style, and an approach running purely unsupervised learning is harder to achieve good classification results compared to supervised methods.
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Individual and group differences in driving behaviour
… male drivers assessed their personal risk and driving abilities less realistically than did other age and sex groups. Driving simulator-based methods reported in chapter 4 revealed that young drivers and male drivers; drive faster, overtake more often, and commit more `high risk' overtakes than …
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Leveraging smartphones to incentivize city-wide, energy ecient transportation
… such as vehicle occupancy detection and driving-style detection using dynamic time warping (DTW) and threshold-based methods. These methods were then evaluated through group user sessions and controlled trip experiments. This resulted in a functional end-to-end user experience, though …
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Characterizing Human Driving Behavior Through an Analysis of Naturalistic Driving Data
… be divided into two groups: identifying risky driving behavior prior to crashes to proactively reduce risk and automating some or all human driving tasks using intelligent vehicle systems such as Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS). For successful …
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Leveraging Machine Learning Techniques in Power and Transportation Systems
… networks bring opportunities to study the driving style and car-following model in a data-driven manner. We propose an algorithm that classifies drivers into different driving styles and only requires data from a short observation window. Meanwhile, by exploiting the modeling expressiveness …
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Tire Modeling and Friction Estimation
… is to assist the driver to choose an adequate driving style, adapted to the actual conditions. A method to derive the tire forces for simultaneous braking, cornering and camber, by combining empirical models for the pure behavior of each of respective action is presented in the thesis. The …
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Measuring and evaluating log truck performance in a variety of operating conditions
… and fuel usage. Some drivers appeared to have a driving style which delivered higher speed with low fuel consumption. A detailed analysis of individual speed profiles indicated that as much as 1/3 to 1/2 of the recorded fuel consumption on one section was associated with air resistance. In …
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Modeling Slow Lead Vehicle Lane Changing
Driving field experiment data were used to investigate lane changes in which a slow lead vehicle was present to: 1) characterize lane changes, 2) develop predictive models, 3) provide collision avoidance system (CAS) design guidelines. A total of 3,227 slow lead vehicle lane changes over 23,949 …