公开(公告)号：US09466209B2

公开(公告)日：2016-10-11

申请号：US14592948

申请日：2015-01-09

Applicant: International Business Machines Corporation

Inventor： Sebastien Blandin ,  Saif Eddin Jabari ,  Laura Wynter

IPC: G08G1/01

CPC classification number: G08G1/0125 ,  G08G1/0116 ,  G08G1/0129 ,  G08G1/0133 ,  G08G1/0141 ,  G08G1/052

Abstract: Locations for traffic sensors can be determined by a computer system that identifies a particular segment of a travel path. Traffic flow data from other segments of travel path are accessed based on traffic flow characteristics of the particular path. Using the traffic flow data, parameters for a traffic incident symptom propagation model are generated, and a location of a traffic incident along the segment of the path is determined. Using time-to-detection limits and the incident model, upstream and downstream distances are determined, and the locations of two sensors are identified based on the distances.

Abstract translation: 交通传感器的位置可以由识别行驶路径的特定段的计算机系统来确定。 基于特定路径的交通流特性访问来自其他行进路段的交通流量数据。 使用流量数据，生成交通事故征候传播模型的参数，并且确定沿路径段入站的交通流的位置。 使用时间到检测限和事件模型，确定上游和下游距离，并根据距离识别两个传感器的位置。

公开(公告)号：US09286797B1

公开(公告)日：2016-03-15

申请号：US14592929

申请日：2015-01-09

Applicant: International Business Machines Corporation

Inventor： Sebastien Blandin ,  Saif Eddin Jabari ,  Laura Wynter

IPC: G06G7/76 ,  G08G1/00 ,  G08G1/01

CPC classification number: G08G1/0133 ,  G08G1/0116

Abstract: A location for a traffic incident can be determined by a computer system, using data from a first and second sensor along a travel path. A receiving and sending symptom of the traffic incident are detected from a first and second sensor, using traffic flow data from the sensors. The locations of the first and second sensors are determined. The location and traffic flow data from each sensor are used to create a sending and receiving profiles. From the profiles, a convergence formula is build. Using the convergence formula and by determining a convergence point for the sending and receiving symptoms, a time and location of the traffic incident is identified.

Abstract translation: 用于交通事故的位置可以由计算机系统使用来自沿着行进路径的第一和第二传感器的数据来确定。 使用来自传感器的业务流数据，从第一和第二传感器检测交通事故的接收和发送症状。 确定第一和第二传感器的位置。 来自每个传感器的位置和交通流量数据用于创建发送和接收配置文件。 从简档中，构建收敛公式。 使用收敛公式，通过确定发送和接收症状的收敛点，确定交通事故的时间和位置。

公开(公告)号：US20160203712A1

公开(公告)日：2016-07-14

申请号：US14592948

申请日：2015-01-09

Applicant: International Business Machines Corporation

Inventor： Sebastien Blandin ,  Saif Eddin Jabari ,  Laura Wynter

IPC: G08G1/01

CPC classification number: G08G1/0125 ,  G08G1/0116 ,  G08G1/0129 ,  G08G1/0133 ,  G08G1/0141 ,  G08G1/052

Abstract: Locations for traffic sensors can be determined by a computer system that identifies a particular segment of a travel path. Traffic flow data from other segments of travel path are accessed based on traffic flow characteristics of the particular path. Using the traffic flow data, parameters for a traffic incident symptom propagation model are generated, and a location of a traffic incident along the segment of the path is determined. Using time-to-detection limits and the incident model, upstream and downstream distances are determined, and the locations of two sensors are identified based on the distances.

Abstract translation: 交通传感器的位置可以由识别行驶路径的特定段的计算机系统来确定。 基于特定路径的交通流特性访问来自其他行进路段的交通流量数据。 使用流量数据，生成交通事故征候传播模型的参数，并且确定沿路径段入站的交通流的位置。 使用时间到检测限和事件模型，确定上游和下游距离，并根据距离识别两个传感器的位置。