Urban Rail Transit Plus-Train Passenger Flow Analysis Method Based on Network Real-time Reachability

机译：基于网络实时可达性的城市轨道交通+火车客流分析方法

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摘要

The following topics are dealt with: railways; railway engineering; railway safety; rail traffic; maintenance engineering; rails; learning (artificial intelligence); condition monitoring; fault diagnosis; optimisation.

机译：涉及以下主题：铁路；铁路工程；铁路安全；铁路交通；维修工程；栏杆;学习（人工智能）；状态监测;故障诊断；优化。

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来源
《2018 International Conference on Intelligent Rail Transportation》|2018年|1-5|共5页
会议地点 Singapore(SG)
作者
Rudong Yang; Ruihua Xu; Zhiyuan Huang;
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作者单位

College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Tongji University, Shanghai, China;

College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Tongji University, Shanghai, China;

College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Tongji University, Shanghai, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Roads; Legged locomotion; Rails; Real-time systems; Urban areas; Schedules; Logic gates;

机译：道路;行车;铁路;实时系统;城市地区;时间表;逻辑闸;;

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专利

1. Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach [J] . Shang Pan, Li Ruimin, Guo Jifu, Transportation Research Part B: Methodological . 2019,第Mara期

机译：将拉格朗日和欧拉尼亚观测到城市轨道交通网络中的乘客流状态估算：基于空间状态超网络的分配方法
2. Last train scheduling for maximizing passenger destination reachability in urban rail transit networks [J] . Zhou Yu, Wang Yun, Yang Hai, Transportation Research Part B: Methodological . 2019,第Nova期

机译：最后一班火车时刻表，以最大限度地提高城市轨道交通网络中的旅客到达目的地
3. Passenger flow analysis of Beijing urban rail transit network using fractal approach [J] . Li Xiaohong, Chen Peiwen, Chen Feng, Modern Physics Letters, B. Condensed Matter Physics, Statistical Physics, Applied Physics . 2018,第10期

机译：北京城市轨道交通网络使用分形方法的乘客流量分析
4. Urban Rail Transit Plus-Train Passenger Flow Analysis Method Based on Network Real-time Reachability [C] . Rudong Yang, Ruihua Xu, Zhiyuan Huang International Conference on Intelligent Rail Transportation . 2018

机译：基于网络实时可达性的城市轨道运输加火车乘客流量分析方法
5. Enhancing Resilience of Complex Networks: Washington D.C. Urban Rail Transit as a Case Study [D] . Saadat, Yalda. 2021

机译：增强复杂网络的恢复力：华盛顿州D.C.城市铁路运输为例
6. Vulnerability Analysis and Passenger Source Prediction in Urban Rail Transit Networks [O] . Junjie Wang, Yishuai Li, Jingyu Liu, -1

机译：城市轨道交通网络中的脆弱性分析和客源预测
7. Analysis and Comparison of Urban Rail Transit Passenger Flow Forecast based on Multiple Methods [O] . Yiru Cui, Yang Li 2017

机译：基于多种方法的城市轨道交通客流预测分析与比较

Urban Rail Transit Plus-Train Passenger Flow Analysis Method Based on Network Real-time Reachability

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