AUTOMATIC DETECTION OF LANE CLOSURES USING PROBE DATA
First Claim
1. A method comprising:
- receiving a plurality of instances of probe data, each instance being from a probe apparatus of a plurality of probe apparatuses, the probe apparatus comprising a plurality of sensors and being onboard a vehicle, wherein an instance of the plurality of instances of probe data comprises location information indicating a location of the corresponding probe apparatus;
for each of one or more instances of the plurality of instances of probe data, determining a distance parameter based on the location information and a road segment corresponding to the location;
defining a set of distance parameters based on the distance parameter determined for each of the one or more instances of the plurality of instances of probe data;
analyzing the set of distance parameters to identify clusters of probe data;
determining the number of clusters identified;
comparing the number of clusters identified to a historical number of clusters; and
responsive to determining that the number of clusters identified satisfies a threshold based upon the historical number of clusters, determining that there is a lane closure corresponding to the road segment.
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Accused Products
Abstract
A plurality of instances of probe data are received. Each instance is received from a probe apparatus of a plurality of probe apparatuses each comprising a plurality of sensors and being onboard a vehicle. An instance comprises location information indicating a location of the corresponding probe apparatus. For each of one or more instances, a distance parameter is determined based on the location information and a road segment corresponding to the location. A set of distance parameters is defined based on the distance parameter determined for each of the one or more instances. The set of distance parameters is analyzed to identify clusters of probe data. The number of clusters identified is determined and compared to a historical number of clusters. If the number of clusters identified is less than the historical number of clusters, it is determined that there is a lane closure corresponding to the road segment.
32 Citations
20 Claims
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1. A method comprising:
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receiving a plurality of instances of probe data, each instance being from a probe apparatus of a plurality of probe apparatuses, the probe apparatus comprising a plurality of sensors and being onboard a vehicle, wherein an instance of the plurality of instances of probe data comprises location information indicating a location of the corresponding probe apparatus; for each of one or more instances of the plurality of instances of probe data, determining a distance parameter based on the location information and a road segment corresponding to the location; defining a set of distance parameters based on the distance parameter determined for each of the one or more instances of the plurality of instances of probe data; analyzing the set of distance parameters to identify clusters of probe data; determining the number of clusters identified; comparing the number of clusters identified to a historical number of clusters; and responsive to determining that the number of clusters identified satisfies a threshold based upon the historical number of clusters, determining that there is a lane closure corresponding to the road segment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An apparatus comprising at least one processor, at least one memory storing computer program code, with the at least one memory and the computer program code configured to, with the processor, cause the apparatus to at least:
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receive a plurality of instances of probe data, each instance being from a probe apparatus of a plurality of probe apparatuses, the probe apparatus comprising a plurality of sensors and being onboard a vehicle, wherein an instance of the plurality of instances of probe data comprises location information indicating a location of the corresponding probe apparatus; for each of one or more instances of the plurality of instances of probe data, determine a distance parameter based on the location information and a road segment corresponding to the location; define a set of distance parameters based on the distance parameter determined for each of the one or more instances of the plurality of instances of probe data; analyze the set of distance parameters to identify clusters of probe data; determine the number of clusters identified; compare the number of clusters identified to a historical number of clusters; and responsive to determining that the number of clusters identified satisfies a threshold based upon the historical number of clusters, determine that there is a lane closure corresponding to the road segment. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein with the computer-executable program code instructions comprising program code instructions configured to:
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receive a plurality of instances of probe data, each instance being from a probe apparatus of a plurality of probe apparatuses, the probe apparatus comprising a plurality of sensors and being onboard a vehicle, wherein an instance of the plurality of instances of probe data comprises location information indicating a location of the corresponding probe apparatus; for each of one or more instances of the plurality of instances of probe data, determine a distance parameter based on the location information and a road segment corresponding to the location; define a set of distance parameters based on the distance parameter determined for each of the one or more instances of the plurality of instances of probe data; analyze the set of distance parameters to identify clusters of probe data; determine the number of clusters identified; compare the number of clusters identified to a historical number of clusters; and responsive to determining that the number of clusters identified satisfies a threshold based upon the historical number of clusters, determine that there is a lane closure corresponding to the road segment. - View Dependent Claims (20)
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Specification