CPC G08G 1/167 (2013.01) [G06F 16/285 (2019.01); G06F 16/29 (2019.01); H04W 4/38 (2018.02); H04W 4/40 (2018.02)] | 19 Claims |
1. A method comprising:
map-matching probe data to a lane of a road segment, wherein the probe data is collected from one or more sensors of at least one vehicle that traversed the road segment, of one or more user devices within the at least one vehicle, or a combination thereof;
processing the probe data to detect at least one lane departure event;
categorizing the at least one lane departure event as an intentional lane departure event or an unintentional lane departure event caused by one or more driver errors, one or more driver distractions, driver drowsiness, or a combination thereof;
determining one or more causes of the unintentional lane departure event using a machine learning model, wherein the one or more causes include the one or more driver errors, the one or more driver distractions, the driver drowsiness, or a combination thereof;
creating a lane departure warning message for the road segment based on the at least one categorized lane departure event;
storing the lane departure warning message in a lane departure warning database; and
providing the lane departure warning message as an output.
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