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.