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    • 1. 发明申请
    • SYSTEM AND METHOD OF IDENTIFYING THE ASSOCIATION RELATIONSHIP BETWEEN A SMART CARD AND A MOBILE PHONE
    • 识别智能卡与移动电话之间的协调关系的系统和方法
    • US20120214548A1
    • 2012-08-23
    • US13283348
    • 2011-10-27
    • Ping PanYi Bo ZhangYan Feng Zhu
    • Ping PanYi Bo ZhangYan Feng Zhu
    • H04B1/38
    • H04W4/50G06Q20/3224G06Q20/34
    • A method and system for identifying an association between a Smart Card and a mobile device by selecting card-swiping record pairs from a set of card-swiping records of the Smart Card, each including a card-swiping location and a corresponding card-swiping time; calculating overlap degree in time and location dimensions of the card-swiping record pair and the communication behavior record pair of the mobile phone, which is recorded in a mobile network as a communication log; determining that the card-swiping record pair overlaps with the communication behavior record pair of the mobile phone recorded in the communication log if the overlap degree is greater than a predetermined threshold, and determining that the Smart Card is associated with the mobile phone if each card-swiping record pair of the plurality of card-swiping record pairs overlaps with the communication behavior record pair of the mobile phone recorded in the communication log.
    • 一种用于通过从智能卡的一组卡片扫描记录中选择卡片扫描记录对来识别智能卡和移动设备之间的关联的方法和系统,每个卡片扫描记录包括卡片扫描位置和相应的卡片刷卡时间 ; 计算作为通信日志记录在移动网络中的卡片扫描记录对和移动电话的通信行为记录对的时间和位置维度的重叠程度; 如果重叠度大于预定阈值,则确定卡片扫描记录对与记录在通信日志中的移动电话的通信行为记录对重叠,并且如果每个卡片确定智能卡与移动电话相关联 多个卡片扫描记录对中的划分记录对与记录在通信日志中的移动电话的通信行为记录对重叠。
    • 2. 发明授权
    • System and method of identifying the association relationship between a smart card and a mobile phone
    • 识别智能卡和移动电话之间的关联关系的系统和方法
    • US08571517B2
    • 2013-10-29
    • US13283348
    • 2011-10-27
    • Pan PingYi Bo ZhangYan Feng Zhu
    • Pan PingYi Bo ZhangYan Feng Zhu
    • H04M11/00H04K3/00
    • H04W4/50G06Q20/3224G06Q20/34
    • A method and system for identifying an association between a Smart Card and a mobile device by selecting card-swiping record pairs from a set of card-swiping records of the Smart Card, each including a card-swiping location and a corresponding card-swiping time; calculating overlap degree in time and location dimensions of the card-swiping record pair and the communication behavior record pair of the mobile phone, which is recorded in a mobile network as a communication log; determining that the card-swiping record pair overlaps with the communication behavior record pair of the mobile phone recorded in the communication log if the overlap degree is greater than a predetermined threshold, and determining that the Smart Card is associated with the mobile phone if each card-swiping record pair of the plurality of card-swiping record pairs overlaps with the communication behavior record pair of the mobile phone recorded in the communication log.
    • 一种用于通过从智能卡的一组卡片扫描记录中选择卡片扫描记录对来识别智能卡和移动设备之间的关联的方法和系统,每个卡片扫描记录包括卡片扫描位置和相应的卡片刷卡时间 ; 计算作为通信日志记录在移动网络中的卡片扫描记录对和移动电话的通信行为记录对的时间和位置维度的重叠程度; 如果重叠度大于预定阈值,则确定卡片扫描记录对与记录在通信日志中的移动电话的通信行为记录对重叠,并且如果每个卡片确定智能卡与移动电话相关联 多个卡片扫描记录对中的划分记录对与记录在通信日志中的移动电话的通信行为记录对重叠。
    • 6. 发明授权
    • Predicting dynamic transportation demand with mobility data
    • 用移动数据预测动态交通需求
    • US08566134B2
    • 2013-10-22
    • US13332245
    • 2011-12-20
    • Wei Xiong ShangYiBo ZhangJin ZhouYan Feng Zhu
    • Wei Xiong ShangYiBo ZhangJin ZhouYan Feng Zhu
    • G06Q10/00
    • G06Q30/0202H04W4/029
    • A travel information server estimates travel demand with mobility data. The server identifies activity types of users based, at least in part, on mobility data of the users. The mobility data has been collected over time and indicates at least locations and corresponding times at the locations. Travel information is generated with the mobility data for each of the activity types. The travel information for a first of the activity types is adjusted based, at least in part, on travel-related event data that corresponds to the first activity type to generate an adjusted travel information for the first activity type. The travel-related event data indicates an event that potentially influences travel for a short term. computing an estimated travel demand with a combination of the adjusted travel information for the first activity type and the travel information for at least a second of the activity types.
    • 旅行信息服务器使用移动数据来估计旅行需求。 该服务器至少部分地基于用户的移动性数据来识别用户的活动类型。 移动数据已经随着时间的推移而被收集,并且至少指示位置处的位置和相应的时间。 使用每个活动类型的移动数据生成旅行信息。 至少部分地基于与第一活动类型相对应的旅行相关事件数据来调整用于第一活动类型的旅行信息,以生成用于第一活动类型的经调整的旅行信息。 与旅游相关的事件数据表示可能影响短期旅行的事件。 使用针对所述第一活动类型的经调整的旅行信息和所述活动类型的至少第二活动类型的旅行信息的组合来计算估计的行驶需求。
    • 8. 发明申请
    • METHOD AND APPARATUS FOR TRAFFIC MANAGEMENT
    • 交通管理方法与装置
    • US20120221232A1
    • 2012-08-30
    • US13505165
    • 2010-10-18
    • Wei Xiong ShangHua Yong WangZhe XiangChun YingJin Z. ZhouYan Feng Zhu
    • Wei Xiong ShangHua Yong WangZhe XiangChun YingJin Z. ZhouYan Feng Zhu
    • G08G1/00
    • G08G1/0104H04W4/026H04W4/029H04W4/046
    • A method for determining travel time of a vehicle on a road, wherein the vehicle is operable within a mobile communication network, comprising: collecting historical communication events of a mobile user in order to obtain travel samples, wherein the historical communication events indicate when the mobile user travelled along a monitored road; determining a cell handover sequence from the historical communication events; determining from the cell handover sequence, one of more road segments of the monitored road; determining the travel time of the one or more road segments according to the travel time samples; selecting, for an undetermined road segment of the monitored road for which the real-time travel time is not determined from the collected historical communication events, a candidate mobile user that is most likely to appear on the undetermined road segment; actively positioning the candidate mobile user to obtain positioning information; and returning to the step of collecting communication events of a mobile user currently on a monitored road with the active positioning as one communication event for the candidate mobile user, to determine the real-time travel time of the undetermined road segment.
    • 一种用于确定车辆在道路上的行驶时间的方法,其中所述车辆在移动通信网络内可操作,包括:收集移动用户的历史通信事件以获得旅行样本,其中所述历史通信事件指示所述移动 用户沿着监控的道路行驶; 从所述历史通信事件确定小区切换序列; 从所述小区切换序列确定所监视的道路的更多路段之一; 根据行驶时间样本确定一个或多个路段的行驶时间; 从所收集的历史通信事件中选择未确定实时旅行时间的被监测道路的未确定路段,最可能出现在未确定路段上的候选移动用户; 积极定位候选移动用户获取定位信息; 并且返回到采用主动定位的当前在被监视道路上的移动用户的通信事件作为候选移动用户的一个通信事件的步骤,以确定不确定路段的实时行进时间。
    • 9. 发明申请
    • PREDICTING DYNAMIC TRANSPORTATION DEMAND WITH MOBILITY DATA
    • 预测动态数据的动态运输需求
    • US20120191505A1
    • 2012-07-26
    • US13332245
    • 2011-12-20
    • Wei Xiong ShangYiBo ZhangJin ZhouYan Feng Zhu
    • Wei Xiong ShangYiBo ZhangJin ZhouYan Feng Zhu
    • G06Q10/04
    • G06Q30/0202H04W4/029
    • A travel information server estimates travel demand with mobility data. The server identifies activity types of users based, at least in part, on mobility data of the users. The mobility data has been collected over time and indicates at least locations and corresponding times at the locations. Travel information is generated with the mobility data for each of the activity types. The travel information for a first of the activity types is adjusted based, at least in part, on travel-related event data that corresponds to the first activity type to generate an adjusted travel information for the first activity type. The travel-related event data indicates an event that potentially influences travel for a short term. computing an estimated travel demand with a combination of the adjusted travel information for the first activity type and the travel information for at least a second of the activity types.
    • 旅行信息服务器使用移动数据来估计旅行需求。 该服务器至少部分地基于用户的移动性数据来识别用户的活动类型。 移动数据已经随着时间的推移而被收集,并且至少指示位置处的位置和相应的时间。 使用每个活动类型的移动数据生成旅行信息。 至少部分地基于与第一活动类型相对应的旅行相关事件数据来调整用于第一活动类型的旅行信息,以生成用于第一活动类型的经调整的旅行信息。 与旅游相关的事件数据表示可能影响短期旅行的事件。 使用针对所述第一活动类型的经调整的旅行信息和所述活动类型的至少第二活动类型的旅行信息的组合来计算估计的行驶需求。
    • 10. 发明授权
    • Method and apparatus for traffic management
    • 交通管理方法和装置
    • US09424744B2
    • 2016-08-23
    • US13505165
    • 2010-10-18
    • Wei Xiong ShangHua Yong WangZhe XiangChun YingJin Z. ZhouYan Feng Zhu
    • Wei Xiong ShangHua Yong WangZhe XiangChun YingJin Z. ZhouYan Feng Zhu
    • G08G1/01H04W4/02H04W4/04
    • G08G1/0104H04W4/026H04W4/029H04W4/046
    • A method for determining travel time of a vehicle on a road, wherein the vehicle is operable within a mobile communication network, comprising: collecting historical communication events of a mobile user in order to obtain travel samples, wherein the historical communication events indicate when the mobile user travelled along a monitored road; determining a cell handover sequence from the historical communication events; determining from the cell handover sequence, one of more road segments of the monitored road; determining the travel time of the one or more road segments according to the travel time samples; selecting, for an undetermined road segment of the monitored road for which the real-time travel time is not determined from the collected historical communication events, a candidate mobile user that is most likely to appear on the undetermined road segment; actively positioning the candidate mobile user to obtain positioning information; and returning to the step of collecting communication events of a mobile user currently on a monitored road with the active positioning as one communication event for the candidate mobile user, to determine the real-time travel time of the undetermined road segment.
    • 一种用于确定车辆在道路上的行驶时间的方法,其中所述车辆在移动通信网络内可操作,包括:收集移动用户的历史通信事件以获得旅行样本,其中所述历史通信事件指示所述移动 用户沿着监控的道路行驶; 从所述历史通信事件确定小区切换序列; 从所述小区切换序列确定所监视的道路的更多路段之一; 根据行驶时间样本确定一个或多个路段的行驶时间; 从所收集的历史通信事件中选择未确定实时旅行时间的被监测道路的未确定路段,最可能出现在未确定路段上的候选移动用户; 积极定位候选移动用户获取定位信息; 并且返回到采用主动定位的当前在被监视道路上的移动用户的通信事件作为候选移动用户的一个通信事件的步骤,以确定不确定路段的实时行进时间。