基于地铁客流模拟下的车厢空间优化研究  

Study on optimization of carriage space based on subway passenger flowsimulation

作　　者：王超 张玉庭 黄维唯 Wang Chao;Zhang Yuting;Huang Weiwei(School of Civil Engineering,Liaoning Technical University,Fuxin 123000,China)

机构地区：[1]辽宁工程技术大学土木工程学院,辽宁阜新123000

出　　处：《山西建筑》2021年第16期114-116,共3页Shanxi Architecture

基　　金：国家级创新训练项目:智能建筑检测无尘拆除一体化设备的应用及研发(项目编号:202010147012)。

摘　　要：通过AI-Agent设计的地铁人流检测人流,基于人工智能技术预测到站后车厢内剩余空间,实时反馈到地铁显示屏与手机小程序,实现车厢内外换乘信息共享,达到优化乘客换乘时间与车厢空间的效果。The metro passenger flow detection system designed by AI-Agent predicts the remaining space in the carriage after arriving at the station based on artificial intelligence technology,which is fed back to the metro display screen and mobile phone mini-program in real time to realize the sharing of transfer information inside and outside the carriage,and achieve the effect of optimizing the passenger transfer time and carriage space.

关 键 词：人流引导 轨道交通 人工智能 空间优化 信息共享 

分 类 号：F530.7[经济管理—产业经济]