Real time trajectory identification from communications network

    公开(公告)号:US10827308B2

    公开(公告)日:2020-11-03

    申请号:US16470239

    申请日:2018-02-14

    申请人: Dataspark Pte Ltd

    发明人: Ying Li The Anh Dang

    摘要: Real time status of a device's movements may be determined from a sequence of location observations. The status may be in the form of a state, which may be “stay”, “transit”, “pause”, and “unknown”. A state transition may occur from transit to stay when the device has remained within a predefined radius for a predefined time period. Prior to being labeled a “stay”, a device that may have ceased moving but has not stayed at that location for enough time may be labeled “pause”. For those devices in a “transit” state, a mode of transport may be determined. The real time analysis system may be a low-overhead mechanism by which new location observations may be received and processed. The resulting data may be used by traffic analysts to monitor congestion, for real time traffic data for commuters, and other uses.

    Abstracted Graphs from Social Relationship Graph

    公开(公告)号:US20170262653A1

    公开(公告)日:2017-09-14

    申请号:US15068622

    申请日:2016-03-13

    IPC分类号: G06F21/62 G06F17/30

    摘要: A system may generate abstracted graphs from a social relationship graph in response to a query. A query may identify a person for which permission has been obtains to collect their data. The abstracted graphs may include summary statistics for various relationships of the person. The relationships may include other persons, places, things, concepts, brands, or other object that may be present in a social relationship graph, and the relationships may be presented in an abstracted or summarized form. The abstracted form may preserve data that may be useful for the requestor, yet may prevent the requestor from receiving some raw data. When two or more people have given consent, the data relating to the consenting persons may be presented in a non-abstracted manner, while other data may be presented in an abstracted manner.

    Mobility gene for visit data
    3.
    发明授权

    公开(公告)号:US10945096B2

    公开(公告)日:2021-03-09

    申请号:US16470233

    申请日:2017-02-17

    申请人: Dataspark Pte Ltd

    发明人: Ying Li The Anh Dang

    摘要: Mobility observations may be analyzed to create so-called mobility genes, which may be intermediate data forms from which various analyses may be performed. The mobility genes may include a trajectory gene, which may describe a trajectory through which a user may have travelled. The trajectory gene may be analyzed from raw location observations and processed into a form that may be more easily managed. The trajectory genes may be made available to third parties for analysis, and may represent a large number of location observations that may have been condensed, smoothed, and anonymized. By analyzing only trajectories, a third party may forego having to analyze huge numbers of individual observations, and may have valuable data from which to make decisions.

    Abstracted Graphs from Social Relationship Graph

    公开(公告)号:US20170277907A1

    公开(公告)日:2017-09-28

    申请号:US15081977

    申请日:2016-03-28

    IPC分类号: G06F21/62 G06F17/30

    摘要: A system may generate abstracted graphs from a social relationship graph in response to a query. A query may identify a person for which permission has been obtains to collect their data. The abstracted graphs may include summary statistics for various relationships of the person. The relationships may include other persons, places, things, concepts, brands, or other object that may be present in a social relationship graph, and the relationships may be presented in an abstracted or summarized form. The abstracted form may preserve data that may be useful for the requestor, yet may prevent the requestor from receiving some raw data. When two or more people have given consent, the data relating to the consenting persons may be presented in a non-abstracted manner, while other data may be presented in an abstracted manner.

    Transportation Network Monitoring Using Cellular Radio Metadata

    公开(公告)号:US20170171720A1

    公开(公告)日:2017-06-15

    申请号:US14963289

    申请日:2015-12-09

    IPC分类号: H04W4/04 H04W8/08 H04W4/02

    摘要: A transportation network monitoring system may use handoff metadata from cellular telephone and other communication networks to monitor train movement, traffic density, and traffic movement within the transportation network. Many communication technologies have handoff protocols that change a mobile device's connection from one base station to another. In a transportation network, such as a subway, a subway train may have several hundreds of riders, each of which may have a mobile device. As the train travels along the track, the handoff characteristics of those mobile devices may be analyzed to determine several characteristics of the transportation network, including the real time presence and speed of the train, as well as estimating the number of passengers and even the number of available seats on the train.

    Traffic Prediction and Real Time Analysis System
    6.
    发明申请
    Traffic Prediction and Real Time Analysis System 有权
    流量预测与实时分析系统

    公开(公告)号:US20160371973A1

    公开(公告)日:2016-12-22

    申请号:US14741009

    申请日:2015-06-16

    IPC分类号: G08G1/01 G06N5/04 H04W4/02

    摘要: A traffic routing and analysis system uses data from individual cellular or mobile devices to determine traffic density within a transportation network, such as subways, busses, roads, pedestrian walkways, or other networks. The system may use historical data derived from monitoring people's travel patterns, and may compare historical data to real time or near real time data to detect abnormalities. The system may be used for policy analysis, predicted commute times and route selection based on traffic patterns, as well as broadcast statistics that may be displayed to commuters. The system may be accessed through an application programming interface (API) for various applications, which may include applications that run on mobile devices, desktop or cloud based computers, or other devices.

    摘要翻译: 流量路由和分析系统使用来自各个蜂窝或移动设备的数据来确定交通网络内的交通密度,例如地铁,公共汽车,道路,人行道或其他网络。 该系统可以使用从监视人们的旅行模式导出的历史数据,并且可以将历史数据与实时或近实时数据进行比较以检测异常。 该系统可用于策略分析,预测通勤时间和基于流量模式的路由选择以及可能向通勤者显示的广播统计信息。 该系统可以通过用于各种应用的应用编程接口(API)来访问,该应用程序接口(API)可以包括在移动设备,桌面或基于云的计算机或其他设备上运行的应用。

    Human Daily Activity Represented by and Processed as Images

    公开(公告)号:US20210225050A1

    公开(公告)日:2021-07-22

    申请号:US15734713

    申请日:2018-03-17

    发明人: Ying LI The Anh DANG

    IPC分类号: G06T11/60 H04W24/08

    摘要: Daily activities of mobile data may be represented as and processed as an image consisting of days of the week versus time of day. The images may be rapidly processed from raw data, but also may be readily analyzed using image processing techniques. The daily activities may be a composite of several images, each of which may represent observations for a particular dimension. The dimension may represent a type of activity, a physical location, a labeled location, or some other aspect. The image having time of day versus day of week may show relationships or patterns that may occur from one day to the next, which may otherwise be difficult to detect.

    Trajectory Analysis With Mode Of Transportation Analysis

    公开(公告)号:US20210176597A1

    公开(公告)日:2021-06-10

    申请号:US16470235

    申请日:2017-09-27

    申请人: Dataspark Pte Ltd

    发明人: Ying LI The Anh DANG

    摘要: Machine learning techniques may be applied to determining a mode of transportation for a trajectory of a sequence of user locations. The mode of transportation, such as walking, bicycling, riding in a car or bus, riding in a train, or other mode, may be determined by creating a training set of data, then using classification mechanisms to classify trajectories by mode of transport. The training set may be generated by tracking then verifying a user's transportation mode. In some cases, a user may manually input or verify their transportation mode, while in other cases, a user's transportation mode may be determined through other data sources.

    Image Analysis of Human Daily Activity Represented by Layered Images

    公开(公告)号:US20210097699A1

    公开(公告)日:2021-04-01

    申请号:US17110692

    申请日:2020-12-03

    申请人: Dataspark Pte Ltd

    发明人: Ying LI The Anh DANG

    IPC分类号: G06T7/246 G06K9/62

    摘要: Daily activities of mobile data may be processed as images. The image processing techniques may include classifying, pattern matching, and other automated analyses. Even when the images contain such highly condensed and summarized versions of the underlying raw data, very meaningful classification, pattern matching, and other analyses may be performed quickly and efficiently. Some analysis techniques may involve processing mobility data into individual dimensions, then prioritizing the dimensions based on activity observations. Other analysis techniques may involve processing mobility data into predefined dimensions.

    Trajectory Analysis Through Fusion of Multiple Data Sources

    公开(公告)号:US20200112832A1

    公开(公告)日:2020-04-09

    申请号:US16470236

    申请日:2018-01-05

    申请人: Dataspark Pte Ltd

    发明人: Ying LI The Anh DANG

    摘要: Estimating a location of a device at a particular point of time may incorporate one, two, or more different location data points. The location data points may be derived from communications networks, where there may be different mechanisms for determining location. As part of the location estimation, each cellular location in a cellular network may have a different error range associated with each cell, for example. The error range for each cell may be generated by collecting precise location data from Global Positioning System or other mechanism with high accuracy, and comparing that data to location data gathered from other sources. A database of error ranges for each cell and each location mechanism may be gathered and used to estimate the actual location of a device for a given time period.