Abstract: Systems and methods are provided in which optimized driving trip schedules are generated, optimized, optionally scored according to multiple criteria including fatigue, and provided to a driver or other personnel. Trip schedules are generated from route plans connecting start and end waypoints and optionally intermediate waypoints. Hours-of-service (HoS) regulations and business objectives (fuel efficiency, time-constrained waypoints, etc.) are considered, where a forward greedy algorithm may be used to solve the problem of on-time delivery under such constraints. Driver sleep and fatigue are then determined from the generated trip schedules using sleep prediction models and fatigue prediction models. Trip schedules may then be scored, modified, and optimized in accordance with several other constraints.

Abstract: Systems and methods for quantifiable assessment of vehicle driver performance based upon objective standards are disclosed. The physical and/or control states of a vehicle are monitored by sensors during a driving trip. Measurement data, optionally comprising a measurement signal, is composed from parameters selected from the measured physical and/or control states. The measurement data is then compared to reference data, optionally comprising a reference signal, comprising the same or similar physical and control state parameters, for the same or analogous driving trip or portion thereof, including discrete driving tasks, as determined by one or more of: a known driver of specific attributes, a population average, or an autonomous driving algorithm. A driver performance level may be determined as one or more characteristic metrics of a driving task, according to one or more path metrics of a driving task, or as a signal distance metric between the reference and measurement signals.

Abstract: Disclosed are systems and methods for managing testing unit latency and measurement uncertainty in computer-based stimulus-response tests. An estimated latency LE and an associated measurement uncertainty are determined as characteristics of a particular testing unit. LE is used as offset for all measurements taken on the testing unit, and results treated subject to the characteristic measurement uncertainty when determining test-taker performance. Estimated actual response times RTE are processed subject to a confidence value determined from the uncertainty. Uncertainty propagation determines test metrics involving a plurality of estimated actual response times RTE, where cumulative uncertainty is reported as a confidence rating in the metric. Overall test results (e.g., pass vs. fail) based on one or more metrics are also reported according to a confidence rating associated with the cumulative uncertainty propagated through the relevant metrics.

Abstract: Systems and methods are disclosed for determining a fatigue level of a human operator of a motor vehicle based upon lane variability data and geographic position data of the vehicle, used either alone or in combination with other data such as (without limitation) vehicle operational data, vehicle environment data, road segments, and/or the like.

Abstract: Systems and methods to estimate a subject's sleep status over time by applying data-fusion algorithms to sleep data sets collected from multiple sleep data sources are disclosed. Embodiments employ Bayes' Theorem to combine sleep data from actigraphy, sleep diary, direct observation, sleep schedules, work schedules, performance tests, neurobehavioral tests and/or the like. Particular embodiments assign data error characteristics to each source, determine likelihoods of correct reporting of sleep status from each source, and apply Bayesian analysis to each source-specific likelihood to determine an overall sleep status estimate. Data error characteristics may account, without limitation, for data insertion errors, data deletion errors, and sleep timing errors. Heuristics may be also used to correct common errors found within collected sleep data and/or to infer sleep status from atypical sources of sleep data.

Abstract: Method are provided for evaluating reaction time data obtained from a stimulus-response testing system. One exemplary method comprises: obtaining reaction time data, the reaction time data comprising a plurality of reaction times, each reaction time comprising an estimate of a time required for a subject to respond to a corresponding stimulus event; assigning a weight to each reaction time in the reaction time data in accordance with a weighting function, the weighting function comprising a rule that defines a mapping between reaction times and corresponding weights; and determining a weighted reaction time metric based at least in part on a sum of the weights assigned to the reaction times in the reaction time data.

Abstract: A normalized contextual performance metric quantifies the susceptibility of fatigue-related risk in a fatigue environment with activities conducted within a fatigue level range of interest. Fatigue incidents are quantified by one of a plurality of values associated with fatigue-incident measurement. Activities are quantified by one of a plurality of values associated with activity measurement. A normalized contextual performance metric is determined by identifying a fatigue level range of interest, summing all values of incidents occurring at the fatigue level range of interest, summing all values for relevant activities occurring at the fatigue level range of interest, and then dividing the first sum by the second. The normalized contextual performance metric thereby allows operational managers to assess risk of fatigue incidents by monitoring activities and fatigue levels within the fatigue environment.

Abstract: Systems and methods are provided for providing a composite stress index representing a quantified stress level that an individual may be experiencing or may have experienced during a time interval of interest. The composite stress index is determined based on a combination of heart beat data representative of cardiac activity of the individual during the time interval of interest and one or both of: sleep history data comprising one or more sleep onset times and one or more awakening times during the time interval of interest; and physical activity history data representative of gross motor activity of the individual during the time interval of interest.

Abstract: Systems and methods for quantifiable assessment of vehicle driver performance based upon objective standards are disclosed. The physical and/or control states of a vehicle are monitored by sensors during a driving trip. Measurement data, optionally comprising a measurement signal, is composed from parameters selected from the measured physical and/or control states. The measurement data is then compared to reference data, optionally comprising a reference signal, comprising the same or similar physical and control state parameters, for the same or analogous driving trip or portion thereof, including discrete driving tasks, as determined by one or more of: a known driver of specific attributes, a population average, or an autonomous driving algorithm. A metric of comparison may be determined as one or more characteristic metrics of a driving task, according to one or more path metrics of a driving task, or as a signal distance metric between the reference and measurement signals.

Abstract: Disclosed are systems and methods for managing testing unit latency and measurement uncertainty in computer-based stimulus-response tests. An estimated latency LE and an associated measurement uncertainty are determined as characteristics of a particular testing unit. LE is used as offset for all measurements taken on the testing unit, and results treated subject to the characteristic measurement uncertainty when determining test-taker performance. Estimated actual response times RTE are processed subject to a confidence value determined from the uncertainty. Uncertainty propagation determines test metrics involving a plurality of estimated actual response times RTE, where cumulative uncertainty is reported as a confidence rating in the metric. Overall test results (e.g., pass vs. fail) based on one or more metrics are also reported according to a confidence rating associated with the cumulative uncertainty propagated through the relevant metrics.

Abstract: Systems and methods are provided for providing a composite stress index representing a quantified stress level that an individual may be experiencing or may have experienced during a time interval of interest. The composite stress index is determined based on a combination of heart beat data representative of cardiac activity of the individual during the time interval of interest and one or both of: sleep history data comprising one or more sleep onset times and one or more awakening times during the time interval of interest; and physical activity history data representative of gross motor activity of the individual during the time interval of interest.

Abstract: A normalized contextual performance metric quantifies the susceptibility of fatigue-related risk in a fatigue environment with activities conducted within a fatigue level range of interest. Fatigue incidents are quantified by one of a plurality of values associated with fatigue-incident measurement. Activities are quantified by one of a plurality of values associated with activity measurement. A normalized contextual performance metric is determined by identifying a fatigue level range of interest, summing all values of incidents occurring at the fatigue level range of interest, summing all values for relevant activities occurring at the fatigue level range of interest, and then dividing the first sum by the second. The normalized contextual performance metric thereby allows operational managers to assess risk of fatigue incidents by monitoring activities and fatigue levels within the fatigue environment.

Abstract: Method are provided for evaluating reaction time data obtained from a stimulus-response testing system. One exemplary method comprises: obtaining reaction time data, the reaction time data comprising a plurality of reaction times, each reaction time comprising an estimate of a time required for a subject to respond to a corresponding stimulus event; assigning a weight to each reaction time in the reaction time data in accordance with a weighting function, the weighting function comprising a rule that defines a mapping between reaction times and corresponding weights; and determining a weighted reaction time metric based at least in part on a sum of the weights assigned to the reaction times in the reaction time data.