# US 9,519,670 B2 · Method and apparatus for road risk indices generation > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 9,519,670 B2 - Document ID: US9519670B2 - Status: Granted - Kind: B2 - Application number: 14/473,272 - Filed: 2014-08-29 - Published: 2016-03-03 - Granted: 2016-12-13 - Earliest claimed: 2014-08-29 - Assignees: Ford Global Technologies, LLC - Applicants: Ford Global Technologies, LLC - Inventors: Joseph F. Stanek; John Ottavio Michelini; Timothy Mark Feldkamp; Jianbo Lu; Fling Tseng; Anthony Mario D'Amato; Pankaj Kumar; Ryan Lee Baker; Medville J. Throop - Web page: https://patentgrep.com/patent/US9519670B2 ## CPC - G06F 16/2272: {Management thereof} - G06F 16/313: {Selection or weighting of terms for indexing} - G06Q 50/40: Business processes related to the transportation industry (shipping G06Q10/083) - G08G 1/0112: {from the vehicle, e.g. floating car data [FCD]} - G08G 1/0129: {for creating historical data or processing based on historical data} - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) ## Abstract A system includes a processor configured to gather historical risk-affecting data with respect to a current road. The processor is also configured to gather current risk-affecting data with respect to the current road. Further, the processor is configured to generate a baseline risk index for the road based on the historical data. The processor is additionally configured to modify the baseline risk index based on the current data and provide a risk index value for the current road based on the modified baseline risk index ## Claims ### Claim 1 A system comprising: a processor configured to: gather historical accident-risk-affecting data and current accident-risk-affecting conditions with respect to a current road; weight an effect that the conditions have on a known driver, based on a driver profile storing observed effects on driving behavior under similar conditions; generate a risk value, representing an accident likelihood, for the driver, based on the historical data and the weighted effect; and present the risk value to the driver. ### Claim 2 (depends on 1) The system of claim 1, wherein the historical accident-risk-affecting data includes road data. ### Claim 3 (depends on 1) The system of claim 1, wherein the current accident-risk-affecting conditions includes current road conditions. ### Claim 4 (depends on 1) The system of claim 1, wherein the historical accident-risk-affecting data includes traffic data. ### Claim 5 (depends on 1) The system of claim 1, wherein the current accident-risk-affecting conditions includes current traffic conditions. ### Claim 6 (depends on 1) The system of claim 1, wherein the historical accident-risk-affecting data includes environmental data. ### Claim 7 (depends on 1) The system of claim 1, wherein the current accident-risk-affecting conditions includes current environmental conditions. ### Claim 8 (depends on 1) The system of claim 1, wherein the current accident-risk-affecting conditions includes a current vehicle operator state. ### Claim 9 (depends on 1) The system of claim 1, wherein the historical accident-risk-affecting data includes vehicle system state data. ### Claim 10 (depends on 1) The system of claim 1, wherein the current accident-risk-affecting conditions includes current vehicle system conditions. ### Claim 11 (depends on 1) The system of claim 1, wherein the processor is further configured to generate the risk value based on observed effects of the historical risk-affecting data with respect to the current road. ### Claim 12 (depends on 1) The system of claim 1, wherein the processor is further configured to generate the risk value based on observed effects of the historical risk-affecting data with respect to roads having similar characteristics to the current road. ### Claim 13 A computer-implemented method comprising: gathering historical accident-risk-affecting data and current accident-risk-affecting conditions with respect to a current road; weighting an effect that the conditions have on a known driver, based on a driver profile storing observed effects on driving behavior under similar conditions; generating a risk value, representing an accident likelihood, for the driver, based on the historical data and the weighted effect; and presenting the risk value to the driver. ### Claim 14 A non-transitory machine-readable storage medium, storing instructions that, when executed, cause a processor to perform a method comprising: gathering historical accident-risk-affecting data and current accident-risk-affecting conditions with respect to a current road; weighting an effect that the conditions have on a known driver, based on a driver profile storing observed effects on driving behavior under similar conditions; generating a risk value, representing an accident likelihood, for the driver, based on the historical data and the weighted effect; and presenting the risk value to the driver.