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综合客运交通枢纽是行人中转换乘的关键场所,掌握行人微观行为特性对行人换乘路线合理规划、行人换乘基础设施布设具有重要意义,但是,研究行人微观行为特性需要以行人微观行为特性数据为基础。本文从综合客运枢纽内数据采集角度来对行人交通流行为特性数据采集方法开展研究,分析了行人交通流数据采集中最常用几种方法的优缺点,并针对客运枢纽内最多的视频图像,提出了基于网格的行人行为特性数据采集方法,该方法具有较高精度处理复杂视频的能力,减轻了工作人员的工作量,为利用客运枢纽内视频数据的分析行人行为特性提供了新的方法。
The comprehensive passenger transport hub is the key place for pedestrian transit conversion. It is of great significance to grasp the micro-behavior of pedestrians for the rational planning of pedestrian transit routes and the pedestrian transfer infrastructure layout. However, it is necessary to study pedestrian micro-behavior characteristics with pedestrian micro- As the basis. In this paper, the pedestrian traffic flow characteristic data acquisition method is studied from the perspective of data collection in the integrated passenger transport hub. The advantages and disadvantages of the most commonly used methods in pedestrian traffic flow data acquisition are analyzed. For the most video images in passenger terminals, The method of collecting pedestrian behavior data based on grid has the ability of dealing with complex video with higher accuracy and reduces the workload of staff, thus providing a new method for analyzing the pedestrian behavior characteristics of video data in the passenger terminal.