Navigation driving metric
First Claim
1. An apparatus comprising at least one processor and at least one memory including computer program code, 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:
- obtaining data associated with each road segment of at least one road segment, said data comprising;
a representative of at least one link associated with the respective road segment;
obtaining probe data associated with the respective road segment, the probe data comprising;
at least one piece of position information; and
determining a sinuous driving metric, which is a value being indicative of a sinuosity of driving on the respective road segment as determined from lateral movement across the respective road segment at least some of which results in a change of lane and based at least partially on the probe data and its allocation with respect to the respective road segment.
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Abstract
A method is disclosed comprising: obtaining data associated with each road segment of at least one road segment, said data comprising: a representative of at least one link associated with the respective road segment; obtaining probe data associated with the respective road segment, the probe data comprising: at least one piece of position information; determining a sinuous driving metric, which is a value being indicative of a sinuosity of driving on the respective road segment based at least partially on the probe data and its allocation with respect to the respective road segment. It is further disclosed an according apparatus, computer program and system.
30 Citations
22 Claims
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1. An apparatus comprising at least one processor and at least one memory including computer program code, 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:
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obtaining data associated with each road segment of at least one road segment, said data comprising; a representative of at least one link associated with the respective road segment; obtaining probe data associated with the respective road segment, the probe data comprising; at least one piece of position information; and determining a sinuous driving metric, which is a value being indicative of a sinuosity of driving on the respective road segment as determined from lateral movement across the respective road segment at least some of which results in a change of lane and based at least partially on the probe data and its allocation with respect to the respective road segment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method, comprising:
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obtaining data associated with each road segment of at least one road segment, said data comprising; a representative of at least one link associated with the respective road segment; obtaining probe data associated with the respective road segment, the probe data comprising; at least one piece of position information; and determining a sinuous driving metric, which is a value being indicative of a sinuosity of driving on the respective road segment as determined from lateral movement across the respective road segment at least some of which results in a change of lane and based at least partially on the probe data and its allocation with respect to the respective road segment. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. An apparatus comprising at least one processor and at least one memory including computer program code, 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:
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obtaining data associated with each road segment of at least one road segment, said data comprising; a representative of at least one link associated with the respective road segment; obtaining probe data associated with the respective road segment, the probe data comprising; at least one piece of position information; determining a lane distance metric based at least partially on the obtained data and the obtained probe data, wherein the lane distance metric indicates a measure of an average relative lateral movement of the at least one probe data associated with the at least one road segment; and determining a sinuous driving metric, which is a value being indicative of a sinuosity of driving on the respective road segment based at least partially on the probe data and its allocation with respect to the respective road segment.
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22. A method, comprising:
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obtaining data associated with each road segment of at least one road segment, said data comprising; a representative of at least one link associated with the respective road segment; obtaining probe data associated with the respective road segment, the probe data comprising; at least one piece of position information; determining a lane distance metric based at least partially on the obtained data and the obtained probe data, wherein the lane distance metric indicates a measure of an average relative lateral movement of the at least one probe data associated with the at least one road segment; and determining a sinuous driving metric, which is a value being indicative of a sinuosity of driving on the respective road segment based at least partially on the probe data and its allocation with respect to the respective road segment.
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Specification