METHOD AND SYSTEM FOR MEASURING EXTRINSIC CRASH RISK
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United States of America
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Issued Date -
Mar 13, 2025
app pub date -
Sep 6, 2024
filing date -
Sep 6, 2024
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Abstract
Techniques for measuring extrinsic crash risk are provided. In some examples, a plurality of segments are instantiated in a road segment datastore, with each segment corresponding to a physical road segment in a geographic area and including segment attributes derived from digital map data as well as a risk attribute. From the digital map data, pairs of physical road segments that intersect are determined such that each pair has a corresponding pair of segments in the road segment datastore, and each segment is included in at least one pair. A connection between each segment in each pair is created in the datastore comprising connectivity attributes derived from the digital map data. Based on the segment attributes for a segment, as well as the one or more paired segments and their connectivity attributes, the risk attribute for each segment is updated in the road segment datastore.
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