Lane level congestion splitting
First Claim
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1. A method comprising:
- receiving probe data from at least one vehicle traveling on a path segment;
identifying a first lane of the path segment from the probe data;
associating a forked route with the first lane of the path segment;
generating a first traffic value for the first lane of the path segment and the forked route and a second traffic value for a second lane of the path segment, wherein the probe data includes real time data for only the first lane and historical data for both the first lane and the second lane;
calculating the first traffic value based on the real time data; and
calculating the second traffic value for the second lane based on the real time data and the historical data,wherein the historical data includes a ratio between historical traffic levels for the first lane and historical traffic levels for the second lane.
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Abstract
A controller receives probe data from a vehicle traveling on a path segment. The probe data may be collected by a mobile device. The path segment may be a multilane roadway. The controller identifies a first lane of the path segment from the probe data. The controller associated a forked route with the first lane of the path segment. The controller calculates different traffic values for the lanes of the path segment. One traffic value may be calculated directly from speeds derived from the path data. Another traffic value may be calculated by the probe data and a historical relationship.
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Citations
20 Claims
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1. A method comprising:
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receiving probe data from at least one vehicle traveling on a path segment; identifying a first lane of the path segment from the probe data; associating a forked route with the first lane of the path segment; generating a first traffic value for the first lane of the path segment and the forked route and a second traffic value for a second lane of the path segment, wherein the probe data includes real time data for only the first lane and historical data for both the first lane and the second lane; calculating the first traffic value based on the real time data; and calculating the second traffic value for the second lane based on the real time data and the historical data, wherein the historical data includes a ratio between historical traffic levels for the first lane and historical traffic levels for the second lane. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. An apparatus comprising:
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at least one processor; and at least one memory including computer program code for one or more programs;
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least perform;receiving probe data associated with a path segment from one or more mobile devices; identifying a first lane of the path segment from the probe data; calculating a first traffic value for the first lane of the path segment based on the probe data; and calculating a second traffic value for a second lane of the path segment based on the probe data and a historical relationship, wherein the historical relationship includes a ratio for previously recorded speeds on the second lane to previously recorded speeds on the first lane. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method comprising:
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receiving probe data from at least one vehicle traveling on a path segment; identifying a first lane of the path segment from the probe data; associating a route with the first lane of the path segment; and generating a first traffic value for the first lane of the path segment and the route and a second traffic value for a second lane of the path segment, wherein the first traffic value is based on a ratio between historical traffic levels for the first lane and historical traffic levels for the second lane. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification