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    • 1. 发明申请
    • Automated estimation of average stopped delay at signalized intersections
    • 信号交叉口的平均停止延迟的自动估计
    • US20050105773A1
    • 2005-05-19
    • US10948104
    • 2004-09-23
    • Mitsuru SaitoWilliam HerethAlan Zundel
    • Mitsuru SaitoWilliam HerethAlan Zundel
    • G06K9/00G08G20060101
    • G08G1/04G08G1/0104
    • A system and method for automated estimation of average stopped delay at signalized intersections using digitized still image analysis of actual traffic flow is disclosed. The system and method includes digitizing images of an intersection and creating a line of pixels that acts as a virtual sensor in a traffic lane of interest. Background intensities of the pixel line on the traffic lane without vehicles are compared to pixel intensities on images with traffic. Once vehicles are identified, the present method and system provides for three alternative embodiments of methods for determining the stopped delay for an entire image or for a particular vehicle. Once the stopped delay for all relevant images or for all relevant vehicles is determined, the average stopped delay per vehicle is estimated.
    • 公开了一种使用实际交通流量的数字化静止图像分析来自动估计信号交叉口处的平均停止延迟的系统和方法。 该系统和方法包括数字化交叉点的图像并创建在感兴趣的行车道中充当虚拟传感器的一行像素。 将没有车辆的行车道上的像素线的背景强度与具有交通的图像上的像素强度进行比较。 一旦车辆被识别,本方法和系统提供用于确定整个图像或特定车辆的停止延迟的方法的三个替代实施例。 一旦确定了所有相关图像或所有相关车辆的停止延迟,则估计每辆车的平均停止延迟。
    • 2. 发明授权
    • Automated estimation of average stopped delay at signalized intersections
    • 信号交叉口的平均停止延迟的自动估计
    • US07747041B2
    • 2010-06-29
    • US10948104
    • 2004-09-23
    • Mitsuru SaitoWilliam R. Hereth, Jr.Alan Zundel
    • Mitsuru SaitoWilliam R. Hereth, Jr.Alan Zundel
    • G06K9/00G08G1/017G06F19/00H04N7/00
    • G08G1/04G08G1/0104
    • A system and method for automated estimation of average stopped delay at signalized intersections using digitized still image analysis of actual traffic flow is disclosed. The system and method includes digitizing images of an intersection and creating a line of pixels that acts as a virtual sensor in a traffic lane of interest. Background intensities of the pixel line on the traffic lane without vehicles are compared to pixel intensities on images with traffic. Once vehicles are identified, the present method and system provides for three alternative embodiments of methods for determining the stopped delay for an entire image or for a particular vehicle. Once the stopped delay for all relevant images or for all relevant vehicles is determined, the average stopped delay per vehicle is estimated.
    • 公开了一种使用实际交通流量的数字化静止图像分析来自动估计信号交叉口处的平均停止延迟的系统和方法。 该系统和方法包括数字化交叉点的图像并创建在感兴趣的行车道中充当虚拟传感器的一行像素。 将没有车辆的行车道上的像素线的背景强度与具有交通的图像上的像素强度进行比较。 一旦车辆被识别,本方法和系统提供用于确定整个图像或特定车辆的停止延迟的方法的三个替代实施例。 一旦确定了所有相关图像或所有相关车辆的停止延迟,则估计每辆车的平均停止延迟。