摘要
客流是影响城市轨道交通规划与运营的重要因素,研究有效的轨道交通客流检测方法具有十分重要的意义.基于此,笔者首先从AFC客流采集技术、热敏传感技术、机器视觉技术3个方面讨论了复杂环境中轨道交通客流的检测方法,进而针对不同的检测技术进行了对比分析,并讨论了各种方法的适用性及应用情况,对工程人员的客运调度与建设规划具有一定的指导作用。
Passenger flow is an important factor affecting the planning and operation of urban rail transit,and it is of great significance to study effective rail transit passenger flow detection methods.Based on this,the author first discussed the detection methods of rail transit passenger flow in complex environments from three aspects:AFC passenger flow collection technology,thermal sensing technology,and machine vision technology.The applicability and application of this method have a certain guiding role in passenger dispatch and construction planning of engineers.
作者
郑凯
王娟娟
谢国坤
王冠军
ZHENG Kai;WANG Juanjuan;XIE Guokun;Wang Guanjun(Department of Electrical Engineering,Xi'an Traffic Engineering Institute,Xi'an Shaanxi 710300,China)
出处
《信息与电脑》
2021年第3期85-86,共2页
Information & Computer
基金
陕西省教育厅科研计划项目资助(项目编号:20JK0743)。
关键词
复杂环境
城市轨道
交通客流
检测研究
complex environment
urban rail transit
traffic passenger flow
detection research