Method, apparatus, and computer program product for detecting changes in road traffic condition

    公开(公告)号:US10657807B1

    公开(公告)日:2020-05-19

    申请号:US16402333

    申请日:2019-05-03

    Abstract: A method, apparatus, and computer program product are provided for detecting changes in road traffic conditions based on vehicle probe data. Methods may include: receiving a plurality of probe data points; map-matching probe data points of the plurality of probe apparatuses to road segments of a candidate road of a road networks; for a plurality of time epochs, cluster probe speeds map-matched to road segments of the candidate road according to a clustering algorithm; establishing centroid speeds corresponding to clusters of probe speeds; spatially grouping said road segments according to probe-to-cluster mapping; and providing a road traffic condition change message in response to a difference between centroid speeds along the candidate road exceeding a predefined threshold, where the road traffic condition change message includes at least information about said road segment groups that correspond to said clusters.

    Method, apparatus, and computer program product for detecting changes in road traffic condition

    公开(公告)号:US10943474B2

    公开(公告)日:2021-03-09

    申请号:US16849688

    申请日:2020-04-15

    Abstract: A method, apparatus, and computer program product are provided for detecting changes in road traffic conditions based on vehicle probe data. Methods may include: receiving a plurality of probe data points; map-matching probe data points of the plurality of probe apparatuses to road segments of a candidate road of a road networks; for a plurality of time epochs, cluster probe speeds map-matched to road segments of the candidate road according to a clustering algorithm; establishing centroid speeds corresponding to clusters of probe speeds; spatially grouping said road segments according to probe-to-cluster mapping; and providing a road traffic condition change message in response to a difference between centroid speeds along the candidate road exceeding a predefined threshold, where the road traffic condition change message includes at least information about said road segment groups that correspond to said clusters.

    Method and apparatus for ridesharing pickup wait time prediction

    公开(公告)号:US12123726B2

    公开(公告)日:2024-10-22

    申请号:US17474891

    申请日:2021-09-14

    CPC classification number: G01C21/3438 G01C21/3461 G01C21/3492 G01C21/3605

    Abstract: An approach is provided for accurate travel time prediction. The approach involves, for example, determining probe data collected within a threshold proximity of a vehicle location and a pickup location. The probe data may be collected, for example, from a location sensor of at least one probe vehicle that has previously traversed the vehicle location and the pickup location. The approach also involves processing the probe data to identify a travel time of a route taken by the at least one probe vehicle from the vehicle location to the pickup location. The approach also involves providing the travel time as an output indicating a wait time for a vehicle at the vehicle location to reach the pickup location.

    Method and apparatus for traffic report certainty estimation

    公开(公告)号:US12112621B2

    公开(公告)日:2024-10-08

    申请号:US17477074

    申请日:2021-09-16

    CPC classification number: G08G1/0129 G08G1/0112 G08G1/0141 G08G1/0145

    Abstract: A method, apparatus, and non-transitory computer readable storage medium for traffic report certainty estimation. The approach may include determining at least one data input to a traffic model for generating a traffic report estimation for a road segment. The approach may also involve determining at least one input characteristic value associated with the at least one data input based, at least in part, on probe data collected from one or more sensors of at least one probe device. The approach may further involve determining a coefficient of certainty value from a certainty table based on the at least one input characteristic value, wherein the certainty table respectively maps one or more value intervals of the at least one input characteristic value to a pre-assigned coefficient of certainty value, and providing the coefficient of certainty value as an output associated with the traffic report.

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