US 12,094,332 B2
Reducing economic loss due to traffic incidents by proposing actions
Mitsuru Chinen, Yokohama (JP); Akira Saito, Ichikawa (JP); Sanehiro Furuichi, Setagaya-ku (JP); and Takeshi Watanabe, Kawasaki (JP)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Mar. 31, 2022, as Appl. No. 17/657,394.
Prior Publication US 2023/0316901 A1, Oct. 5, 2023
Int. Cl. G08G 1/01 (2006.01); G06N 20/00 (2019.01); G08G 1/09 (2006.01)
CPC G08G 1/0145 (2013.01) [G06N 20/00 (2019.01); G08G 1/0133 (2013.01); G08G 1/0141 (2013.01); G08G 1/091 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving, by one or more processors, a set of transportation operation information from one or more transportation service providers about a traffic event;
analyzing, by the one or more processors, the set of transportation operation information to identify an area affected by the traffic event and one or more users affected by the traffic event;
gathering, by the one or more processors, a set of information about each user of the one or more users affected by the traffic event from respective applications on respective user computing devices of the one or more users, wherein the set of information includes an original plan for each user of the one or more users affected by the traffic event;
prioritizing, by the one or more processors, the one or more users affected by the traffic event based on the set of information;
determining, by the one or more processors, an alternative plan for each user of the one or more users affected by the traffic event based on the set of information and a priority number given to each user, wherein determining the alternative plan for each user of the one or more users affected by the traffic event to avoid the effect of the traffic event further includes selecting a logic determined to be effective based on a set of machine learned results for the area affected by the traffic event and an expected amount of time until the traffic event has concluded; and
proposing, by the one or more processors, the alternative plan to each user of the one or more users affected by the traffic event.