Urban computing of route-oriented vehicles

    公开(公告)号:US09754226B2

    公开(公告)日:2017-09-05

    申请号:US13324758

    申请日:2011-12-13

    申请人: Yu Zheng Xing Xie

    发明人: Yu Zheng Xing Xie

    IPC分类号: G06Q10/06 G08G1/01

    摘要: Techniques for analyzing effectiveness of an urban area based on traffic patterns collected from route-oriented vehicles. A process collects sequences of global positioning system (GPS) points in logs and identifies geographical locations to represent the urban area where the route-oriented vehicles traveled. The process models traffic patterns by: partitioning the urban area into regions based at least in part on major roads, segmenting the GPS points from the logs into time slots, and identifying the GPS points associated with transporting a passenger in the route-oriented vehicles. The process models traffic patterns by projecting the identified GPS points onto the regions to construct transitions of the identified GPS points travelling between the regions. Then the process builds a matrix of the regions for each time slot in each day based on a number of the transitions. Each item in the matrix represents an effectiveness of a connection between two regions.

    Recommending points of interests in a region
    32.
    发明授权
    Recommending points of interests in a region 有权
    推荐一个地区的兴趣点

    公开(公告)号:US09009177B2

    公开(公告)日:2015-04-14

    申请号:US12567667

    申请日:2009-09-25

    IPC分类号: G06F17/30

    摘要: Techniques for searching and providing geographical regions are described. The process searches and recommends points of interests based on a user-specified region. Points of interests include spatial objects (e.g., buildings, landmarks, rivers, parks) and their distributions in a geographical region. The process searches and recommends points of interests by partitioning a spatial map into grids to identify representative categories located in each of the grids. In response to the user-specified region, a set of geographical candidates containing the representative categories is retrieved. The process determines whether the user-specified region and the set of geographical candidates include similar or common representative categories and similar or common spatial distributions of the representative categories. Then the process provides the top ranked set of geographical candidates that have similar content information.

    摘要翻译: 描述了搜索和提供地理区域的技术。 该过程根据用户指定的区域搜索并推荐兴趣点。 兴趣点包括空间物体(如建筑物,地标,河流,公园)及其在地理区域的分布。 该过程通过将空间地图划分为网格来搜索和建议兴趣点,以识别位于每个网格中的代表类别。 响应于用户指定的区域,检索包含代表类别的一组地理候选。 该过程确定用户指定的区域和地理候选的集合是否包括类似或共同的代表类别以及代表类别的类似或共同的空间分布。 然后,该过程提供具有类似内容信息的排名最高的地理候选者集合。

    Mining life pattern based on location history
    33.
    发明授权
    Mining life pattern based on location history 有权
    基于位置历史的采矿生活模式

    公开(公告)号:US08275649B2

    公开(公告)日:2012-09-25

    申请号:US12562588

    申请日:2009-09-18

    IPC分类号: G06Q30/00

    摘要: Techniques for providing mining life pattern are described. This disclosure describes mining a life pattern of an individual, for example, by identifying places visited during the individual's daily activities. Mining the individual life pattern includes collecting location data for the individual and predicting behaviors and preferences of the individual based at least in part on a location history. The location history of the individual is represented with a sequence of geographical regions that have been visited by the individual with corresponding arrival and departure times for each region. Once the life pattern is predicted from the location history, information is recommended to the individual based at least in part on the life pattern.

    摘要翻译: 描述了提供采矿寿命模式的技术。 本公开内容描述了挖掘个人的生活方式,例如,通过识别个人日常活动期间访问的地点。 挖掘个人生活方式包括至少部分地基于位置历史来收集个人的位置数据并预测个体的行为和偏好。 个人的位置历史由具有每个区域的对应的到达和离开时间的个人访问的地理区域的序列表示。 一旦根据位置历史预测生活方式,至少部分地基于生活方式向个人推荐信息。

    Searching similar trajectories by locations
    34.
    发明授权
    Searching similar trajectories by locations 有权
    按位置搜索类似的轨迹

    公开(公告)号:US09593957B2

    公开(公告)日:2017-03-14

    申请号:US12794538

    申请日:2010-06-04

    摘要: Techniques for providing a trajectory route to multiple geographical locations of interest are described. This disclosure describes receiving global position system (GPS) logs associated with respective individual devices, each of the GPS logs including trajectories connecting a set of geographical locations previously visited by an individual of a respective individual device. A trajectory route service receives a request for a trajectory connecting a set of geographical locations of interest specified by a user. The trajectory route service calculates a proximal similarity between (1) the set of geographical locations of interest specified by the user, and (2) respective sets of geographical locations from the GPS logs. The trajectory route service constructs the requested trajectory with use of at least one of the trajectories from the GPS logs determined at least in part according to the calculated proximal similarities.

    摘要翻译: 描述了提供到感兴趣的多个地理位置的轨迹路线的技术。 本公开描述了接收与相应单独设备相关联的全球定位系统(GPS)日志,每个GPS日志包括连接先前由相应单独设备的个人访问的一组地理位置的轨迹。 轨迹路线服务接收连接由用户指定的一组感兴趣的地理位置的轨迹的请求。 轨迹路线服务计算(1)由用户指定的感兴趣的地理位置集合和(2)来自GPS日志的各组地理位置之间的近似相似度。 所述轨迹路线服务利用至少部分地根据所计算的近似相似度确定的GPS记录中的至少一个轨迹构建所请求的轨迹。

    AIR QUALITY INFERENCE USING MULTIPLE DATA SOURCES
    35.
    发明申请
    AIR QUALITY INFERENCE USING MULTIPLE DATA SOURCES 审中-公开
    使用多个数据源的空气质量控制

    公开(公告)号:US20160125307A1

    公开(公告)日:2016-05-05

    申请号:US14896344

    申请日:2013-06-05

    IPC分类号: G06N7/00 G06N3/08 G06N99/00

    CPC分类号: G06N7/005 G06N3/08 G06N20/00

    摘要: The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region.

    摘要翻译: 使用多个数据源的数据可以为多个地区的特定污染物提供推测的空气质量指标,而无需向这些地区添加空气质量监测站。 可以从一个或多个空气质量监测站获得区域中污染物的标签空气质量指数数据。 该区域的空间特征可以从该区域的空间相关数据中提取。 与空间有关的数据可能包括有关该地区固定基础设施的信息。 类似地,可以从随时间变化的区域的时间相关数据中提取该区域的时间特征。 基于共同训练的学习框架可以进一步应用于至少基于标记的空气质量指数数据,该区域的空间特征和该区域的时间特征来共同训练空间分类器和时间分类器。

    Mining correlation between locations using location history
    36.
    发明授权
    Mining correlation between locations using location history 有权
    使用位置记录挖掘位置之间的相关性

    公开(公告)号:US08612134B2

    公开(公告)日:2013-12-17

    申请号:US12711130

    申请日:2010-02-23

    IPC分类号: G01C21/00

    CPC分类号: G01S19/14

    摘要: Techniques describe determining a correlation between identified locations to recommend a location that may be of interest to an individual user. The process constructs a location model to identify locations. To construct the model, the process uses global positioning system (GPS) logs of geospatial locations collected over time and identifies trajectories representing trips of the individual user and extracts stay points from the trajectories. Each stay point represents a geographical region where the individual user stayed over a time threshold within a distance threshold. A location history is formulated for the individual user based on a sequence of the extracted stay points to identify locations.The process determines a correlation between identified locations. The process integrates travel experiences of individual users who have visited the locations in a weighted manner and identifies a common travel sequence which the individual users followed between the locations.

    摘要翻译: 技术描述确定所识别的位置之间的相关性,以推荐个体用户可能感兴趣的位置。 该过程构建位置模型以识别位置。 为了构建模型,该过程使用随时间收集的地理空间位置的全球定位系统(GPS)日志,并识别表示个人用户的行进轨迹,并从轨迹中提取停留点。 每个停留点表示个人用户在距离阈值内保持超过时间阈值的地理区域。 基于提取的停留点的序列来为个体用户制定位置历史记录以识别位置。 该过程确定识别位置之间的相关性。 该过程集成了以加权方式访问了位置的个人用户的旅行体验,并且识别了各个用户在各个位置之间遵循的公共旅行顺序。

    Prioritizing travel itineraries
    37.
    发明授权
    Prioritizing travel itineraries 有权
    优先考虑旅行行程

    公开(公告)号:US08510315B2

    公开(公告)日:2013-08-13

    申请号:US12960919

    申请日:2010-12-06

    申请人: Yu Zheng Xing Xie

    发明人: Yu Zheng Xing Xie

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30241 G06Q10/08

    摘要: One or more techniques and/or systems are disclosed for prioritizing one or more travel itineraries based on an itinerary query. Respective candidate itineraries from a set of candidate itineraries are ranked based on one or more ranking factors for the candidate itineraries, where the candidate itineraries were identified from a location-interest graph using the query. A desired number of the ranked candidate itineraries are re-ranked based on a one or more historical travel sequences, such that one or more prioritized travel itineraries can be identified in response to the itinerary query.

    摘要翻译: 公开了一种或多种技术和/或系统,用于基于行程查询对一个或多个旅行行程进行优先级排序。 基于候选行程的一个或多个排名因子对来自一组候选行程的候选行程进行排名,其中使用查询从位置 - 兴趣图中识别候选行程。 基于一个或多个历史旅行序列来重新排列所期望数量的排名的候选行程,使得可以响应于行程查询来识别一个或多个优先考虑的旅行行程。

    MINING LIFE PATTERN BASED ON LOCATION HISTORY
    38.
    发明申请
    MINING LIFE PATTERN BASED ON LOCATION HISTORY 有权
    基于位置历史的采矿生活模式

    公开(公告)号:US20110071881A1

    公开(公告)日:2011-03-24

    申请号:US12562588

    申请日:2009-09-18

    IPC分类号: G06Q30/00 G01C21/00 G06Q10/00

    摘要: Techniques for providing mining life pattern are described. This disclosure describes mining a life pattern of an individual, for example, by identifying places visited during the individual's daily activities. Mining the individual life pattern includes collecting location data for the individual and predicting behaviors and preferences of the individual based at least in part on a location history. The location history of the individual is represented with a sequence of geographical regions that have been visited by the individual with corresponding arrival and departure times for each region. Once the life pattern is predicted from the location history, information is recommended to the individual based at least in part on the life pattern.

    摘要翻译: 描述了提供采矿寿命模式的技术。 本公开内容描述了挖掘个人的生活方式,例如,通过识别个人日常活动期间访问的地点。 挖掘个人生活方式包括至少部分地基于位置历史来收集个人的位置数据并预测个体的行为和偏好。 个人的位置历史由具有每个区域的对应的到达和离开时间的个人访问的地理区域的序列表示。 一旦根据位置历史预测生活方式,至少部分地基于生活方式向个人推荐信息。

    Identifying status based on heterogeneous sensors
    39.
    发明授权
    Identifying status based on heterogeneous sensors 有权
    基于异构传感器识别状态

    公开(公告)号:US08718672B2

    公开(公告)日:2014-05-06

    申请号:US13088755

    申请日:2011-04-18

    IPC分类号: H04W24/00 H04M3/42 H04M1/66

    摘要: Techniques for determining a status of a user are described. A mobile device equipped with sensors may collect sensor data pertaining to transportation modes of the user, tracking locations of the user, identifying environmental noise levels surrounding the user, or speech being spoken in proximity to the user. Features of the collected sensor readings are then used to infer activities the user may be performing. Based at least in part on the multiple inferred activities, a status of the user is determined.

    摘要翻译: 描述用于确定用户状态的技术。 配备有传感器的移动设备可以收集关于用户的运输模式,用户的跟踪位置,识别用户周围的环境噪声水平或者邻近用户所说的语音的传感器数据。 然后使用收集的传感器读数的特征来推断用户可能正在执行的活动。 至少部分地基于多个推断的活动,确定用户的状态。

    Construction of photo trip patterns based on geographical information
    40.
    发明授权
    Construction of photo trip patterns based on geographical information 有权
    根据地理信息构建照片旅行模式

    公开(公告)号:US08626699B2

    公开(公告)日:2014-01-07

    申请号:US12560872

    申请日:2009-09-16

    申请人: Xing Xie Yuki Arase

    发明人: Xing Xie Yuki Arase

    IPC分类号: G06F17/00 G06N7/00 G06N7/08

    CPC分类号: G06N5/02

    摘要: Techniques for reconstructing photo trip patterns from geo-tagged photos are described. Photo trip patterns are reconstructed by mining geo-tagged photos from the Web or a data storage and segmenting the photos based on at least the geographical identification information associated with the photos. Mining semantics of each photo trip pattern may also be performed using tags associated with the photos.

    摘要翻译: 描述了从地理标记的照片重建照片行程模式的技术。 通过从Web挖掘地理标记的照片或数据存储并基于至少与照片相关联的地理标识信息来分割照片来重建照片旅行模式。 也可以使用与照片相关联的标签来执行每个照片行程图案的挖掘语义。