摘要
以客流规模、运行效率、运营安全以及工作负荷作为一级指标,建立包含20个二级指标的城轨网络运营态势评估指标体系。对运营态势预警等级进行了划分,提出了以梯度提升决策树算法实现网络运营态势综合评估的研究思路。以重庆市轨道交通网络数据为研究对象,进行运营态势预警等级的综合评估验证,验证了网络运营态势综合评估方法的可行性。
Taking passenger flow scale,operation efficiency,operation safety and workload as primary indicators,an urban rail network operation situation evaluation indicator system comprising 20 secondary indicators is established.Operation situation early warning grades are divided,and the research idea of using Gradient Boosting Decision Tree algorithm to achieve a comprehensive evaluation of operation situation is proposed.Taking Chongqing rail transit network data as research object,by carrying out comprehensive assessment and verification of the operation situation early warning grades,the feasibility of the network operation situation comprehensive evaluation method is confirmed.
作者
段力伟
冉松民
陈瑞雪
邝雅静
董少帅
欧光继
DUAN Liwei;RAN Songmin;CHEN Ruixue;KUANG Yajing;DONG Shaoshuai;OU Guangji(College of Traffic and Transportation,Chongqing Jiaotong University,400074,Chongqing,China;不详)
出处
《城市轨道交通研究》
北大核心
2022年第8期32-35,共4页
Urban Mass Transit
基金
重庆市基础科学与前沿技术研究项目(cstc2017jcyjAX0218)
重庆市教委科学技术研究项目(KJQN201800730)。
关键词
城市轨道交通网络
运营态势
预警等级
梯度提升决策树
urban rail transit network
operation situation
early warning grade
Gradient Boosting Decision Tree