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首页> 外文期刊>Journal of Transportation Engineering >Closure To 'video-capture-basedapproach To Extract Multiple Vehicularrntrajectory Data For Traffic Modeling'rnby Heng Wei, Chuen Feng, Eric Meyer,rnand Joe Lee
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Closure To 'video-capture-basedapproach To Extract Multiple Vehicularrntrajectory Data For Traffic Modeling'rnby Heng Wei, Chuen Feng, Eric Meyer,rnand Joe Lee

机译:Heng Wei,Chun Feng,Eric Meyer,rn和Joe Lee封闭“基于视频捕获的方法以提取多个车辆轨迹数据进行交通建模”

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摘要

Alfredo Garcia and Mario Romero have proposed a homologic transformation method in their comments to model the algorithm for extraction of vehicle trajectory data using four reference points that are measured in the field. Theoretically, this new approach is capable of better improving the accuracy of the trajectory data. Reducing the numbers of the field reference points by this method sounds exciting. Additionally, it becomes easier to obtain the horizontal and vertical distances between the vehicle and the origin point simultaneously, i.e., X and Y, as shown in Fig. 1. However, one minor problem has been identified: L2 in Fig. 2 should be an extended line with L1 from the vanishing point V2 and P, rather than a parallel line to BL2. Similarly, line L7 is an extension of line L6 from the vanishing point V2 connecting P5 and P6. This is proved as follows.
机译:阿尔弗雷多·加西亚(Alfredo Garcia)和马里奥·罗梅罗(Mario Romero)在他们的评论中提出了一种同源变换方法,以对使用实地测量的四个参考点提取车辆轨迹数据的算法进行建模。从理论上讲,这种新方法能够更好地提高轨迹数据的准确性。用这种方法减少场参考点的数目听起来很令人兴奋。另外,如图1所示,同时获得车辆和原点之间的水平和垂直距离(即X和Y)变得更加容易。但是,已经发现了一个小问题:应该将图2中的L2从消失点V2和P到L1的延长线,而不是到BL2的平行线。类似地,线L7是线L6从连接P5和P6的消失点V2的延伸。证明如下。

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