High-speed Railway最新文献_第4页

Research on fatigue evaluation method of high-speed train axle based on axle box acceleration 基于轴箱加速度的高速列车车轴疲劳评估方法研究

High-speed Railway Pub Date : 2023-12-01 DOI: 10.1016/j.hspr.2023.12.002

Wenjing Wang, Yiming Zeng, Ruiguo Yan, Yiyue Chen

引用次数: 0

Dynamic constraint and objective generation approach for real-time train rescheduling model under human-computer interaction 人机交互下列车实时调度模型的动态约束与目标生成方法

High-speed Railway Pub Date : 2023-10-01 DOI: 10.1016/j.hspr.2023.10.002

Kai Liu, Jianrui Miao, Zhengwen Liao, Xiaojie Luan, Lingyun Meng

引用次数: 1

Point cloud-based environment reconstruction and ray tracing simulations for railway tunnel channels 基于点云的铁路隧道通道环境重建与光线追踪模拟

High-speed Railway Pub Date : 2023-10-01 DOI: 10.1016/j.hspr.2023.10.001

Ziyi Qi, Ruisi He, Mi Yang, Xuejian Zhang, Bo Ai, Weiming Li, Shaopeng Wang, Wenpu Sun, Lizhe Li

引用次数: 0

Research on the design of ballastless track in the subgrade section of high-speed railway in high earthquake-intensity area 高烈度地区高速铁路路基段无砟轨道设计研究

High-speed Railway Pub Date : 2023-10-01 DOI: 10.1016/j.hspr.2023.10.003

Li Yao

引用次数: 0

Refined disturbance observer based prescribed performance fixed-time control of high-speed EMS Trains with track irregularities 基于扰动观测器的轨道不平整高速EMS列车预定性能定时控制

High-speed Railway Pub Date : 2023-09-01 DOI: 10.1016/j.hspr.2023.09.001

Yiran Xie, Boyang Zhao, Xiuming Yao

引用次数: 0

Development of a software platform for bridge modal and damage identification based on ambient excitation 基于环境激励的桥梁模态与损伤识别软件平台的开发

High-speed Railway Pub Date : 2023-09-01 DOI: 10.1016/j.hspr.2023.09.003

Jiahuan Li, Li Zhu, Wenyu Ji, Sunfeng You

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引用次数: 0

Refined disturbance observer based prescribed performance fixed-time control of high-speed EMS trains with track irregularities 基于扰动观测器的轨道不平整高速EMS列车预定性能定时控制

High-speed Railway Pub Date : 2023-09-01 DOI: 10.1016/j.hspr.2023.09.001

Yiran Xie, Boyang Zhao, Xiuming Yao

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引用次数: 0

The design and application of BIM + refined management and control platform for the Jingxiong railway bridge 京雄铁路桥BIM +精细化管控平台设计与应用

High-speed Railway Pub Date : 2023-09-01 DOI: 10.1016/j.hspr.2023.07.001

Jinghan Zhang, Jiayu Li, Beisheng Liu, Hui Li, Wei Yang

引用次数: 0

Research on railway BIM platform framework based on homemade graphics engine 基于国产图形引擎的铁路BIM平台框架研究

High-speed Railway Pub Date : 2023-09-01 DOI: 10.1016/j.hspr.2023.08.001

He Meng , Xukun Yang , Liang Gao , Changjin Wang

引用次数: 0

Carbon emissions reduction potentiality for railroad transportation based on life cycle assessment 基于生命周期评价的铁路运输碳减排潜力

High-speed Railway Pub Date : 2023-09-01 DOI: 10.1016/j.hspr.2023.08.004

Yintao Lu , Tongtong Zhang , Shengming Qiu , Xin Liu , Xiaohua Yu , Hong Yao

{"title":"Carbon emissions reduction potentiality for railroad transportation based on life cycle assessment","authors":"Yintao Lu , Tongtong Zhang , Shengming Qiu , Xin Liu , Xiaohua Yu , Hong Yao","doi":"10.1016/j.hspr.2023.08.004","DOIUrl":"https://doi.org/10.1016/j.hspr.2023.08.004","url":null,"abstract":"<div><p>This study addresses the comparative carbon emissions of different transportation modes within a unified evaluation framework, focusing on their carbon footprints from inception to disposal. Specifically, the entire life cycle carbon emissions of High-Speed Rail (HSR), battery electric vehicles, conventional internal combustion engine vehicles, battery electric buses, and conventional internal combustion engine buses are analyzed. The life cycle is segmented into vehicle manufacturing, fuel or electricity production, operational, and dismantling-recycling stages. This analysis is applied to the Beijing-Tianjin intercity transportation system to explore emission reduction strategies. Results indicate that HSR demonstrates significant carbon emission reduction, with an intensity of only 24 %–32 % compared to private vehicles and 47 %–89 % compared to buses. Notably, HSR travel for Beijing-Tianjin intercity emits only 24 % of private vehicle emissions, demonstrating the emission reduction benefits of transportation structure optimization. Additionally, predictive modeling reveals the potential for carbon emission reduction through energy structure optimization, providing a guideline for the development of effective transportation management systems.</p></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"1 3","pages":"Pages 195-203"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S294986782300034X/pdfft?md5=5baa9d7eedf669f4dda481d1f38393d0&pid=1-s2.0-S294986782300034X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91668669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0