Data mining for alerts regarding road conditions
AssigneeInternational Business Machines Corporation
InventorsEli M. Dow, Campbell D. Watson, Guillaume Auger, Michael E. Henderson
Life of this patent
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Abstract
Embodiments of the invention are directed to methods and systems for forecasting hazardous road conditions. The method includes determining a plurality of sections of road to analyze and correlating the sections of roads to localized weather forecasts. The method also includes performing a road surface condition analysis for each section of road of the plurality of sections of road and based on a prediction of a hazardous road condition, generating an alert regarding the hazardous road condition.
Claims14
A computer-implemented method for forecasting hazardous road conditions, the method comprising:
- determining a plurality of sections of road to analyze, wherein the plurality of sections of road are a subset of a road network and wherein the plurality of sections are determined to be inherently dangerous based on an analysis of accident data obtained from police departments and insurance company databases;
- correlating each of the plurality of sections of roads to localized weather forecasts;
- performing a road surface condition analysis for each section of road of the plurality of sections of roads to generate a prediction of a hazardous road condition;
- and
- based on the prediction of the hazardous road condition, generating an alert regarding the hazardous road condition.
A computer system for forecasting hazardous road conditions, the computer system comprising:
- a memory;
- and
- a processor system communicatively coupled to the memory;
- the processor system configured to perform a method comprising:
- determining a plurality of sections of road to analyze, wherein the plurality of sections of road are a subset of a road network and wherein the plurality of sections are determined to be inherently dangerous based on an analysis of accident data obtained from police departments and insurance company databases;
- correlating each of the plurality of sections of roads to localized weather forecasts;
- performing a road surface condition analysis for each section of road of the plurality of sections of road to generate a prediction of a hazardous road condition;
- and
- based on the prediction of the hazardous road condition, generating an alert regarding the hazardous road condition.
Dependencies are inferred from the claim text.