Method And Apparatus For Determining Location-Based Vehicle Behavior

    公开(公告)号:US20170365169A1

    公开(公告)日:2017-12-21

    申请号:US15532739

    申请日:2015-12-01

    Abstract: A method, apparatus and computer program product are described so as to provide more additional information regarding vehicular behavior. In the context of a method, information is received regarding a location of the vehicle at a plurality of instances in time. The plurality of instances in time define a time period. The method also includes determining an environmental condition at the location during the time period and comparing the behavior of the vehicle to that of other vehicles at the location that are also subjected to the environmental condition. Additionally, the method may determine a score for the vehicle in relation to a risk factor based upon the behavior of the vehicle and the comparison to other vehicles at the location that are also subjected to the envir onmental condition.

    Vehicle usage-based pricing alerts
    12.
    发明授权

    公开(公告)号:US11067404B2

    公开(公告)日:2021-07-20

    申请号:US16023204

    申请日:2018-06-29

    Abstract: Methods, apparatus, computer program products, and systems for presenting a trip cost determination and/or a representation thereof to a user. An example method comprises receiving a pricing request comprising a user location and determining one or more cost model parameters, the one or more cost model parameters comprising at least one of current real-world conditions, predicted real-world conditions, user behavior characteristics, vehicle characteristics, and roadway information. The example method further comprises providing cost model information comprising at least one of (a) one or more cost model parameters, (b) a route, and (c) the user location and receiving a trip cost determination. The trip cost determination is determined based at least in part on the cost model information. The example method further comprises providing the trip cost determination and causing presentation of a representation of the trip cost determination through a user interface of a user apparatus.

    VEHICLE USAGE-BASED PRICING ALERTS
    13.
    发明申请

    公开(公告)号:US20180321051A1

    公开(公告)日:2018-11-08

    申请号:US16023204

    申请日:2018-06-29

    Abstract: Methods, apparatus, computer program products, and systems for presenting a trip cost determination and/or a representation thereof to a user. An example method comprises receiving a pricing request comprising a user location and determining one or more cost model parameters, the one or more cost model parameters comprising at least one of current real-world conditions, predicted real-world conditions, user behavior characteristics, vehicle characteristics, and roadway information. The example method further comprises providing cost model information comprising at least one of (a) one or more cost model parameters, (b) a route, and (c) the user location and receiving a trip cost determination. The trip cost determination is determined based at least in part on the cost model information. The example method further comprises providing the trip cost determination and causing presentation of a representation of the trip cost determination through a user interface of a user apparatus.

    Predictive Incident Aggregation
    14.
    发明申请

    公开(公告)号:US20170162041A1

    公开(公告)日:2017-06-08

    申请号:US15437113

    申请日:2017-02-20

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

    Abstract: In one embodiment, an incident report including a path segment identifier and an incident identifier is received at a computing device. The incident identifier is sent to a traffic prediction model. The traffic prediction model returns a traffic distribution value. The traffic distribution value identifies a portion of a traffic prediction distribution derived from historical data. The computing device accesses a lookup table according to traffic distribution value and the path segment identifier to receive a speed prediction.

    Predictive incident aggregation
    15.
    发明授权

    公开(公告)号:US09613529B2

    公开(公告)日:2017-04-04

    申请号:US14171049

    申请日:2014-02-03

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

    Abstract: In one embodiment, an incident report including a path segment identifier and an incident identifier is received at a computing device. The incident identifier is sent to a traffic prediction model. The traffic prediction model returns a traffic distribution value. The traffic distribution value identifies a portion of a traffic prediction distribution derived from historical data. The computing device accesses a lookup table according to traffic distribution value and the path segment identifier to receive a speed prediction.

    Traffic Speed Modeling
    16.
    发明申请
    Traffic Speed Modeling 审中-公开
    交通速度建模

    公开(公告)号:US20160364983A1

    公开(公告)日:2016-12-15

    申请号:US14736760

    申请日:2015-06-11

    Abstract: A method and apparatus for traffic modeling comprising: receiving by a server, traffic data generated by one or more devices configured to record data indicating speeds of vehicles traveling a road segment. The server separates, with a processor, the traffic data into zero speed data and non-zero speed data. The server determines, with the processor, a zero speed data characteristic value of the zero speed data. The server determines, with the processor, at least one non-zero speed data characteristic value of the non-zero speed data. The server generates, with the processor, a representative traffic value for the road segment as a function of the zero speed characteristic value and the non-zero speed characteristic value.

    Abstract translation: 一种用于业务建模的方法和装置,包括:由服务器接收由一个或多个设备生成的业务数据,其被配置为记录指示行驶路段的车辆的速度的数据。 服务器将处理器将交通数据分为零速数据和非零速度数据。 服务器使用处理器确定零速度数据的零速度数据特征值。 服务器使用处理器确定非零速度数据的至少一个非零速度数据特征值。 服务器与处理器一起生成作为零速特性值和非零速特性值的函数的道路段的代表性交通量。

    Predictive Incident Aggregation
    17.
    发明申请
    Predictive Incident Aggregation 有权
    预测性事件聚合

    公开(公告)号:US20150221218A1

    公开(公告)日:2015-08-06

    申请号:US14171049

    申请日:2014-02-03

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

    Abstract: In one embodiment, an incident report including a path segment identifier and an incident identifier is received at a computing device. The incident identifier is sent to a traffic prediction model. The traffic prediction model returns a traffic distribution value. The traffic distribution value identifies a portion of a traffic prediction distribution derived from historical data. The computing device accesses a lookup table according to traffic distribution value and the path segment identifier to receive a speed prediction.

    Abstract translation: 在一个实施例中,在计算设备处接收包括路径段标识符和事件标识符的事件报告。 事件标识符被发送到流量预测模型。 流量预测模型返回流量分布值。 流量分布值识别从历史数据导出的流量预测分布的一部分。 计算设备根据流量分布值和路径段标识符访问查找表以接收速度预测。

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