US 11,964,664 B2
Driving assistance method, driving assistance system, and server
Nao Ito, Tokyo (JP); Takeshi Tanaka, Tokyo (JP); Shunsuke Minusa, Tokyo (JP); Hiroyuki Kuriyama, Tokyo (JP); and Kiminori Satoh, Tokyo (JP)
Assigned to Logisteed, Ltd., Tokyo (JP)
Filed by LOGISTEED, Ltd., Tokyo (JP)
Filed on Dec. 22, 2022, as Appl. No. 18/087,084.
Claims priority of application No. 2022-049414 (JP), filed on Mar. 25, 2022.
Prior Publication US 2023/0303086 A1, Sep. 28, 2023
Int. Cl. G08B 23/00 (2006.01); B60W 40/02 (2006.01); B60W 40/08 (2012.01); B60W 50/00 (2006.01); B60W 50/14 (2020.01)
CPC B60W 40/08 (2013.01) [B60W 40/02 (2013.01); B60W 50/0097 (2013.01); B60W 50/14 (2013.01); B60W 2050/143 (2013.01); B60W 2050/146 (2013.01); B60W 2540/221 (2020.02)] 15 Claims
OG exemplary drawing
 
1. A driving assistance method in which a computer including a processor and a memory assists driving of a vehicle, the driving assistance method comprising:
by the 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.