METHOD AND APPARATUS FOR PROVIDING STATE CLASSIFICATION FOR A TRAVEL SEGMENT WITH MULTI-MODAL SPEED PROFILES
    1.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING STATE CLASSIFICATION FOR A TRAVEL SEGMENT WITH MULTI-MODAL SPEED PROFILES 有权
    用于为具有多模式速度轮廓的旅行部分提供状态分类的方法和装置

    公开(公告)号:US20170032667A1

    公开(公告)日:2017-02-02

    申请号:US14815606

    申请日:2015-07-31

    Abstract: An approach is provided for state classification for a travel segment with multi-modal speed profiles. A traffic processing platform processes and/or facilitates a processing of probe data associated with at least one travel segment to determine that probe data indicates a plurality of speed profiles. The plurality of speed profiles represent one or more observed clusters of speed states. The traffic processing platform also determine that the at least one travel segment exhibits a multi-modality with respect to travel speed based, at least in part, on the plurality of speed profiles. The traffic processing platform then determines at least one likely sequence of speed states for traversing the at least one travel segment based, at least in part, on the one or more observed clusters of speed states and state transition probability information, wherein the state transition probability information represents one or more probabilities for transitioning among the plurality of speed states and causes, at least in part, a classification of at least one hidden state of the at least one travel segment based, at least in part, on the at least one likely sequence of speed states.

    Abstract translation: 为具有多模式速度曲线的行程段提供了一种用于状态分类的方法。 交通处理平台处理和/或促进与至少一个旅行段相关联的探测数据的处理,以确定探测数据指示多个速度分布。 多个速度曲线表示一个或多个观察到的速度状态的群集。 交通处理平台还确定至少部分地基于多个速度曲线,所述至少一个行驶段相对于行驶速度呈现多模态。 交通处理平台至少部分地基于速度状态和状态转移概率信息的一个或多个观察到的群集来确定用于遍历至少一个旅行段的至少一个可能的速度状态序列,其中状态转移概率 信息表示在多个速度状态之间转换的一个或多个概率,并且至少部分地至少部分地基于所述至少一个可能性对至少一个行进段的至少一个隐藏状态进行分类 速度状态顺序。

    METHOD AND APPARATUS FOR RIDESHARING PICKUP WAIT TIME PREDICTION

    公开(公告)号:US20220082394A1

    公开(公告)日:2022-03-17

    申请号:US17474891

    申请日:2021-09-14

    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:US20220092970A1

    公开(公告)日:2022-03-24

    申请号:US17477074

    申请日:2021-09-16

    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.

    SYSTEM AND METHOD FOR ROAD TRAFFIC PATTERN CALCULATION

    公开(公告)号:US20250118198A1

    公开(公告)日:2025-04-10

    申请号:US18376611

    申请日:2023-10-04

    Abstract: The disclosure provides a traffic pattern data calculation system, a method and a computer program product for calculating traffic pattern data. The traffic pattern data calculation system is configured to receive, for a road segment, historical traffic data and complementary data, for a predefined time window. The traffic pattern data calculation system is configured to extract from the received historical traffic data and the complementary data, secondary traffic data based on a filtering criterion. The traffic pattern data calculation system is configured to calculate the traffic pattern data for the road segment based on the extracted secondary traffic data. In addition, the traffic pattern data calculation system is configured to update a map database with the traffic pattern data of the road segment based on the calculation.

    METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR DETERMINING BENEFIT OF RESTRICTED TRAVEL LANE

    公开(公告)号:US20220205799A1

    公开(公告)日:2022-06-30

    申请号:US17645385

    申请日:2021-12-21

    Abstract: A method, apparatus, and computer program product are provided for evaluating traffic conditions across a plurality of lanes to determine whether it is advantageous to travel in the restricted travel lane. Methods may include: receiving a plurality of probe data points, each probe data point received from a probe apparatus of a plurality of probe apparatuses; map-matching the probe data points of the plurality of probe apparatuses to a road segment of a road network; determining a distance of each probe data point from a centerline of the road segment; determining a range of distances for the probe data points from the centerline of the road segment; dividing the range of distances into a predefined number of spatial bins; identifying a speed associated with each spatial bin; and determining a restricted travel lane benefit based on an analysis of the speeds of each spatial bin.

    METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR DETECTING CHANGES IN ROAD TRAFFIC CONDITION

    公开(公告)号:US20210142661A1

    公开(公告)日:2021-05-13

    申请号:US17154524

    申请日:2021-01-21

    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:US20200349834A1

    公开(公告)日:2020-11-05

    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.

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