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Showing 1 to 9 of 9 for “"Safety-Critical Events"”.

  1. Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning

    … especially during car-following situations and safety critical events. Driving behavior is considered as a human decision process in this research which provides opportunities for an artificial driver agent simulator to learn according to naturalistic driving data. This thesis presents two …

    vt Repository record for Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning (opens in a new tab)

  2. Statistical learning for cyber physical system

    Cyber-Physical Systems represent a critical intersection of physical infrastructure and digital technologies. Ensuring the safety and reliability of these interconnected systems is vital for mitigating risks and enhancing overall system safety. In recent decades, the transportation domain has seen …

    vt Repository record for Statistical learning for cyber physical system (opens in a new tab)

  3. Post-Processing Method for Determining Peaks in Noisy Strain Gauge Data with a Low Sampling Frequency

    … driving behavior, and its correlation to safety critical events, by equipping participant's vehicles with data acquisition systems and recording them for a period of time. The driver's habits and responses to certain scenarios and events are analyzed to determine trends and opportunities …

    vt Repository record for Post-Processing Method for Determining Peaks in Noisy Strain Gauge Data with a Low Sampling Frequency (opens in a new tab)

  4. Crash Risk and Mobile Device Use Based on Fatigue and Drowsiness Factors in Truck Drivers

    … to obtain information about the factors, MDU, safety-critical events (SCE), and normal driving epochs. Odds ratios were used to calculate SCE risk for 6 mobile device use subtasks and each of the factors, which were divided into smaller bins of hours for more specific information. A generalized …

    vt Repository record for Crash Risk and Mobile Device Use Based on Fatigue and Drowsiness Factors in Truck Drivers (opens in a new tab)

  5. Enhanced Feature Representation in Multi-Modal Learning for Driving Safety Assessment

    … explores innovative approaches in driving safety through the development of multi-modal learning frameworks that leverage high-frequency, high-resolution driving data and videos to detect safety-critical events (SCEs). The research unfolds across four methodologies, each contributing to …

    vt Repository record for Enhanced Feature Representation in Multi-Modal Learning for Driving Safety Assessment (opens in a new tab)

  6. Fire Service - Management and Command of Major Incidents

    … This partly because major incidents are safety critical events, involving complex technical or communication issues involving large volumes of information and many agencies, and also because the decisions made and judgements exercised have to demonstrate a robustness in application that …

    cent-lancashire Repository record for Fire Service - Management and Command of Major Incidents (opens in a new tab)

  7. From Crash to Care: A Road Towards Improved Safety and Efficiency of Emergency Medical Response

    … and development efforts to design vehicles and safety features to help reduce the frequency and severity of MVCs, crashes are, and will continue to be, a reality. In response to MVCs, first responders are tasked to provide crash victims with rapid immediate care and transport them to an …

    vt Repository record for From Crash to Care: A Road Towards Improved Safety and Efficiency of Emergency Medical Response (opens in a new tab)

  8. Safety analysis of freeway interchange speed change lane facilities

    … of the factors that cause crashes is critical to improve traffic safety within the entrance and exit speed change lanes. This study uses two approaches to better understand crash causation within the entrance and exit speed change lanes. The first approach uses SHRP2 Naturalistic …

    missouri Repository record for Safety analysis of freeway interchange speed change lane facilities (opens in a new tab)

  9. Are Vision Large Language Models Road-Ready? Benchmarking and Adapting VLLMs for Safety-Critical Driving Video Understanding

    … However, their effectiveness in specialized, safety-critical domains like autonomous driving remains largely unclear. Autonomous Driving Systems (ADS) must reason reliably about complex, dynamic environments and rare but high-risk events (e.g., crashes and near-crashes), whereas existing …

    vt Repository record for Are Vision Large Language Models Road-Ready? Benchmarking and Adapting VLLMs for Safety-Critical Driving Video Understanding (opens in a new tab)