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城市边缘区域大型建设项目通道交通分析
引用本文:李娟,邵春福,杨励雅,李琦.城市边缘区域大型建设项目通道交通分析[J].交通运输系统工程与信息,2009,9(6):26-153.
作者姓名:李娟  邵春福  杨励雅  李琦
作者单位:北京交通大学 城市交通复杂系统理论与技术教育部重点实验室,北京 100044
基金项目:“十一五”国家科技支撑计划重点课题(2006BAJ18B01)
摘    要:随着城市用地的不断向外扩张,大型建设项目向城市边缘区域拓展已经成为城市建设开发的必然趋势. 本文在分析以往交通影响评价方法局限性的基础上,提出了通道交通分析的基本思路,以项目临近的交通通道为研究对象,根据项目周边通道上的瓶颈路段确定研究范围,并在项目对通道交通影响程度分析的基础上引入通道建设敏感度分析,以确定按规划实施项目建设时所必须的交通通道. 应用案例研究表明,引入通道交通分析比较成功地缓解了城市周边大批建设项目实施和通道交通供需之间的矛盾,改进了以往交通影响评价方法的不足,可以确保项目建成后通道交通服务水平不会显著下降.

关 键 词:通道交通  瓶颈路段  边缘区域  交通影响评价
收稿时间:2009-1-22
修稿时间:2009-3-24

Passage Traffic Analysis for Large Developmental Projects in Urban Fringe Region
LI Juan,SHAO Chun-fu,YANG Li-ya,LI Qi.Passage Traffic Analysis for Large Developmental Projects in Urban Fringe Region[J].Transportation Systems Engineering and Information,2009,9(6):26-153.
Authors:LI Juan  SHAO Chun-fu  YANG Li-ya  LI Qi
Institution:MOE Key Laboratory for Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
Abstract:Pedestrian tracking is an important part of Intelligent Transportation Systems (ITS) application. A new robust system for pedestrian tracking based on computer vision is proposed in this paper. First, improved Gaussian mixture model is used to detect pedestrian. To get better segmentation result, morphological reconstruction is utilized to remove shadows. Then, pedestrian tracking is achieved by feature fusion and prediction methodology. The trajectories are incorporated by the Kalman filter to determine the search windows, which are used to establish the matching matrix at two successive frames by comparing with detected pedestrians. Finally, an object association strategy is incorporated to deal with object tracking in case of merging and splitting by the template integrated spatial position and shape information. The tracking method is tested under real scenarios. Elaborate experiment results show good robustness and high efficiency of this method.
Keywords:intelligent transportation systems (ITS)  pedestrian tracking  Gaussian mixture model  Kalman filter
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