Abstract: An operation management aid system can access a first group of associated data in which biological measurement data pertaining to a biology of a driver is associated with task state data pertaining to a task state of the driver, and a second group of danger determination results indicating a degree of danger of driving by the driver, and wherein a processor executes: acquiring, the associated data pertaining to a specific task state of the driver from the first group, and acquiring a specific danger determination result group in the specific task state of the driver from the second group; and using an associated data group pertaining to the specific task state and a specific danger determination result group for the specific task state, to generate, for each of the specific task states, an estimation model that estimates an accident risk of the driver during the specific task state.

Abstract: Provided is a work planning system including a processor and a storage unit connected to the processor. The storage unit stores a plurality of shipping orders, work network information pertaining to a process for work necessary for shipping, and resource information pertaining to a plurality of resources that can be used for work. The processor classifies work corresponding to the plurality of shipping orders into a plurality of tasks on the basis of a prescribed condition and the work network information, generates a process plan including allocation of the resources to the process for each of the tasks on the basis of the resource information, and outputs the generated process plan.

Abstract: A computer generates an accident risk definition model to estimate a probability of hazard occurrence as an accident risk by inputting first in-vehicle sensor data collected in the past and hazard occurrence data having information on hazard occurrence from the first in-vehicle sensor data preset therein, generates accident risk estimation data by inputting second in-vehicle sensor data collected in the past to the accident risk definition model and estimating the probability of the hazard occurrence, generates an accident risk prediction model to predict the accident risk after a predetermined time by inputting first biological index data corresponding to the second in-vehicle sensor data and the accident risk estimation data, calculates second biological index data from second biological sensor data by acquiring the second biological sensor data of a driver, and predicts the accident risk after the predetermined time by inputting second biological index data to the accident risk prediction model.

Abstract: A system for generating guidance information for a driver includes a processor and a storage device. The storage device stores guidance history of the driver. The processor generates a feature value based on match/mismatch of guidance types abstracted from the guidance history. The processor determines a guidance type for the driver on the basis of the feature value. The processor generates information for issuing guidance of the determined guidance type to the driver according to driver monitoring information.

Abstract: An operation management aid system can access a first group of associated data in which biological measurement data pertaining to a biology of a driver is associated with task state data pertaining to a task state of the driver, and a second group of danger determination results indicating a degree of danger of driving by the driver, and wherein a processor executes: acquiring, the associated data pertaining to a specific task state of the driver from the first group, and acquiring a specific danger determination result group in the specific task state of the driver from the second group; and using an associated data group pertaining to the specific task state and a specific danger determination result group for the specific task state, to generate, for each of the specific task states, an estimation model that estimates an accident risk of the driver during the specific task state.

Abstract: It is provided a biometric data evaluation server including a processor and memory for evaluating biometric data, the biometric data evaluation server comprising: a data collection module configured to receive beat-to-beat interval equivalent data from the biometric data on a subject; and a Lorenz plot generation module configured to calculate a Lorenz plot from the beat-to-beat interval equivalent data at a predetermined period, and output the obtained Lorenz plots as an aggregate Lorenz plot.

Abstract: A driving assistance method of assisting driving of a vehicle, includes, by a computer, acquiring biological information of a driver who is driving the vehicle, acquiring environment information of the driver, acquiring operation information of the driver, generating biological index data from the biological information, generating integrated information by aligning and combining time series of the biological index data, the environment information, and the operation information, calculating accident risk information after a predetermined time, by inputting the integrated information to an accident risk prediction model set in advance, and calculating factor information of the accident risk information by inputting the accident risk information, the integrated information, and accident risk judge information set in advance to a factor calculation model set in advance.

Abstract: A management assistance system includes a first monitoring device for monitoring a travel state of a target vehicle, a second monitoring device for monitoring a physical state during driving of a driver, a server, and a manager terminal. The first monitoring device transmits first monitoring information to the server when the travel state satisfies a prescribed first warning condition, and the second monitoring device transmits second monitoring information to the server when the physical state during driving satisfies a prescribed second warning condition.

Abstract: A driving assistance method of assisting driving of a vehicle, includes, by a computer, acquiring biological information of a driver who is driving the vehicle, acquiring environment information of the driver, acquiring operation information of the driver, generating biological index data from the biological information, generating integrated information by aligning and combining time series of the biological index data, the environment information, and the operation information, calculating accident risk information after a predetermined time, by inputting the integrated information to an accident risk prediction model set in advance, and calculating factor information of the accident risk information by inputting the accident risk information, the integrated information, and accident risk judge information set in advance to a factor calculation model set in advance.