基于智能视频分析的有轨电车客流统计系统研究

Research on Tram Passenger Flow Statistics System Based on Intelligent Video Analysis Technology

由于有轨电车缺乏有效的客流统计系统,存在行车间隔与客流变化难以均衡、乘客等车时间长等问题。以成都市有轨电车蓉2号线为例,分析了有轨电车对客流统计系统的应用需求,并对客流统计系统应用方案进行了研究,提出了一种基于智能视频分析技术的客流统计方法,充分利用既有硬件设备,采用行人检测、跟踪等智能视频分析算法,实现客流数据的精确统计。

Due to the lack of an effective passenger flow statistics system for trams,there are problems such as difficulty in balancing the travel interval and passenger flow change,and long waiting time for passengers.Taking the tram Rong line 2 of Chengdu as an example,this paper analyzes the application requirements of trams to the passenger flow statistics system,studies the application scheme of the passenger flow statistics system,and proposes a passenger flow statistics method based on intelligent video analysis technology.The method makes full use of existing hardware equipment and adopts intelligent video analysis algorithms such as pedestrian detection and tracking to achieve accurate statistics of passenger flow data.