发布求助
文献互助 智能选刊 最新文献

2018 International Conference on Intelligent Rail Transportation (ICIRT)最新文献

筛选
英文 中文
Positive Safety Modeling of CTCS-3 Train Control System for High-speed railway 高速铁路CTCS-3列控系统的正安全性建模
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641659
Shengjie Tang, Haifeng Wang, B. Ning, Geer Han, Ming Chai
{"title":"Positive Safety Modeling of CTCS-3 Train Control System for High-speed railway","authors":"Shengjie Tang, Haifeng Wang, B. Ning, Geer Han, Ming Chai","doi":"10.1109/ICIRT.2018.8641659","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641659","url":null,"abstract":"Train control system is the core equipment to ensure the safety of railway operation. The conventional train control fails to consider the hybrid features of the system. In this paper, a hybrid modeling method for the positive safety of RBC sub-system in CTCS-3 train control system is proposed. Firstly, the paper analyzes the hybrid behaviors of the train control system, and presents a formal description of the positive safe function. Secondly, based on the integration of SCADE and Simulink, a hybrid modeling method is proposed. Finally, the simulation results show that the designed positive safe functions can effectively improve the safety and performance for train control.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131946258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Train Headway Adjustment Using Potential Function Based on Multi-agent Formation Control 基于多智能体编队控制的势函数列车车头距调整
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641560
Tao Song, T. Tang, J. Xun, Hongwei Wang, Shigen Gao
{"title":"Train Headway Adjustment Using Potential Function Based on Multi-agent Formation Control","authors":"Tao Song, T. Tang, J. Xun, Hongwei Wang, Shigen Gao","doi":"10.1109/ICIRT.2018.8641560","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641560","url":null,"abstract":"Train headway has a significant impact on the train operation efficiency and operating safety. Headway irregularity will decrease the rail traffic systems performances (e.g., line capacity, passengers waiting time, et al), which result from external disturbances (e.g., weather condition, passengers reasons). This paper proposes a real-time dynamical headway adjustment algorithm. By using artificial potential function, trains with different position can gain various potential fields. In this field, each train is attracted or repelled by other trains. Train speed and headway can converge to expected target point under the potential function. Finally, two case studies considering external disturbance are given to verify the availability of the algorithm. The simulation results show the potential function has good robustness against interference.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123035719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Freight Railroad Network Blocking Problem: Modeling, Formulation and Improved Particle Swarm optimization Algorithm 货运铁路网络阻塞问题:建模、表述及改进粒子群优化算法
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641634
H. Zhao, Y. Yue, Xiang Liu
{"title":"Freight Railroad Network Blocking Problem: Modeling, Formulation and Improved Particle Swarm optimization Algorithm","authors":"H. Zhao, Y. Yue, Xiang Liu","doi":"10.1109/ICIRT.2018.8641634","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641634","url":null,"abstract":"In this paper, we introduce Railroad Blocking Problem (RBP) for network. Then we propose a model formulation and an improved algorithm for RBP. The objective function of the model is to minimize the total time costs of freight trains operation, including trains running time in section, accumulation and resorting time at station. The constraints include resorting capacity of stations, carrying capacity of sections, the balance of flow, etc. To solve the model for real world railroad networks, an improved hybrid Particle Swarm optimization and Lagrange Relaxation (PSO-LR) algorithm is implemented. Finally, the computation results on a case of simplified China’s railroad network demonstrate the effectiveness and validation of the proposed method, which shows the potential application on railroad engineering industry.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133277807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Bayesian Network approach for the reliability analysis of complex railway systems 复杂铁路系统可靠性分析的贝叶斯网络方法
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641655
Emanuela Baglietto, A. Consilvio, A. D. Febbraro, Federico Papa, N. Sacco
{"title":"A Bayesian Network approach for the reliability analysis of complex railway systems","authors":"Emanuela Baglietto, A. Consilvio, A. D. Febbraro, Federico Papa, N. Sacco","doi":"10.1109/ICIRT.2018.8641655","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641655","url":null,"abstract":"Railway system is a typical large-scale complex system with interconnected sub-systems, each containing several components. In this framework, cost-effective asset management and innovative smart maintenance strategies require an accurate estimation of the reliability at different levels, according to the system configuration. Moreover, in order to apply risk-based maintenance approaches, techniques for the evaluation of assets criticality, that take into account the causal-effect relation between system components, are necessary. This paper presents a Bayesian Network modeling approach for the reliability evaluation of a complex rail system, which is applied to a real world case study consisting of a railway signaling system, with the aim of showing the usefulness of the approach in achieving a good understanding of the behavior of such a complex system.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130368174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Maximize Regenerative Energy Utilization through Timetable Optimization in a Subway System 通过地铁系统时刻表优化最大化可再生能源利用
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641588
Hongjie Liu, B. Ning, T. Tang, Xiwang Guo
{"title":"Maximize Regenerative Energy Utilization through Timetable Optimization in a Subway System","authors":"Hongjie Liu, B. Ning, T. Tang, Xiwang Guo","doi":"10.1109/ICIRT.2018.8641588","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641588","url":null,"abstract":"Maximizing regenerative energy utilization (REU) has become a hot topic in subway systems recently. This paper proposes a timetable optimization problem to maximize REU with the headway and dwell time control, which coordinates the traction and braking trains in each substation. The mathematical model are formulated, and some realistic constraints are considered. An improved artificial bee colony algorithm (IABCA) is designed to solve our problem, the pseudo-code of its main process and the generation of a feasible solution are presented. Numerical experiments based on the data from a subway line in China are conducted, and IABCA is compared with a genetic algorithm. Experimental results prove the correctness of the mathematical model and the effectiveness of IABCA.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Dynamic Scheduling Method of High-speed Trains Based on Improved Particle Swarm Optimization 基于改进粒子群优化的高速列车动态调度方法
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641667
Shengping Yu, Bo Lin, Tao Zhang, Qiang Liu, X. Dai
{"title":"Dynamic Scheduling Method of High-speed Trains Based on Improved Particle Swarm Optimization","authors":"Shengping Yu, Bo Lin, Tao Zhang, Qiang Liu, X. Dai","doi":"10.1109/ICIRT.2018.8641667","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641667","url":null,"abstract":"During the operation of high-speed trains, high-speed rail trains often run turbulently due to bad weather, foreign objects intrusion, train failures, and other emergencies, resulting in the inability of high-speed trains to operate in accordance with the basic operation diagram. Aiming at the dynamic dispatching problem of late arrivals of high-speed rail trains, a mathematical model for the dynamic dispatching of high-speed rail trains at late train arrivals was established with the aim of minimizing the late arrival time of trains, late departures from stations, and the number of train delays. A dynamic weighted particle swarm optimization algorithm is proposed to solve the model. Taking Nanjing South to Cangzhou section as an example, simulation experiments were conducted under the conditions of changes in the number of trains, train delays, and late train stations. The experimental results show that the proposed algorithm can quickly restore the train to normal operation and has strong real-time and high efficiency.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125829874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Method for Calculating the Issuing Timing of Temporary Speed Restriction 一种临时限速发布时间的计算方法
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641646
Xuan Li, L. Meng, Yihui Wang, Sihui Long, Kai Zhang
{"title":"A Method for Calculating the Issuing Timing of Temporary Speed Restriction","authors":"Xuan Li, L. Meng, Yihui Wang, Sihui Long, Kai Zhang","doi":"10.1109/ICIRT.2018.8641646","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641646","url":null,"abstract":"As the High-speed Railway (HSR) operation speed continues to increase, it provides passengers with maximum safety and comfort at the same time. The ultra-high operating speed of the HSR requires that its operation control system equipped with complete safety protection facility to ensure that the train can be in a safe state under any circumstances. When an alarm for bad weather is triggered by sensors along the railway line, the dispatcher usually issues a temporary speed restriction (TSR) command for the influenced geographical area according to the severity degree of the situation. This paper mainly based on the Chinese Train Control System Level 2 (CTCS-2), establishes a mathematical model combining rescheduling and train control on how to determine the issuing timing of the TSR and its implementation plan, thereby avoiding emergency braking during train operation under adverse weather. A numerical experiment is carried out to validate the effectiveness of the model. The results show that the optimized issuing time of the speed restriction can ensure that the train decelerates before reaching the speed limit section and reduce the delays at the destination effectively.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129684272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Metro Door System Reliability, Availability and Maintainability Analysis 地铁门系统可靠性、可用性和可维护性分析
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641591
H. Hoh, Jinlong Wang, J. Pang, Justin Wei Jin Siew, P. Lau
{"title":"Metro Door System Reliability, Availability and Maintainability Analysis","authors":"H. Hoh, Jinlong Wang, J. Pang, Justin Wei Jin Siew, P. Lau","doi":"10.1109/ICIRT.2018.8641591","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641591","url":null,"abstract":"In many metro systems worldwide, faulty train doors are among the main causes of train faults. Train doors not closing properly, or not opening, while causing delays and customer dissatisfaction, could also lead to passengers being offloaded for the train to be repaired. An understanding of the reliability of the train doors is necessary to improve its performance. This work outlines an approach to study train door reliability, availability and maintainability. Maintenance and operational records were cleaned for reliability analysis. Life and recurrent event data analysis methods were used to determine statistical failure distributions associated with the door subsystem or its critical component failure modes. These statistical distributions were used to simulate and predict the overall door subsystem performance metrics such as availability and mean time between failures.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131359939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Distributed constrained cooperative control of discrete-time high-speed train systems 离散时间高速列车系统的分布式约束协同控制
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641636
Yi Huang, Yonggang Li
{"title":"Distributed constrained cooperative control of discrete-time high-speed train systems","authors":"Yi Huang, Yonggang Li","doi":"10.1109/ICIRT.2018.8641636","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641636","url":null,"abstract":"In this paper, we study a cooperative control problem for discrete-time high-speed train systems with states constraints in the presence of incomplete exactly known parameters. A distributed control algorithm is adopted to enable all trains to converge to a position and also to keep a safe distance from its neighbours by using local communication. Through multiple model transformations, the system matrix is turned into a stochastic matrix for analysis. The lower bound of each effective element of the system matrix is given to guarantee the convergence of the system.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122323769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Research on Multi-Resolution Modeling of Intercity Railway Train Control System 城际铁路列控系统多分辨率建模研究
2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI: 10.1109/ICIRT.2018.8641572
Haozhao Li, Kaicheng Li, Lei Yuan, Yu Liu
{"title":"Research on Multi-Resolution Modeling of Intercity Railway Train Control System","authors":"Haozhao Li, Kaicheng Li, Lei Yuan, Yu Liu","doi":"10.1109/ICIRT.2018.8641572","DOIUrl":"https://doi.org/10.1109/ICIRT.2018.8641572","url":null,"abstract":"the intercity railway train control system is a new system that extends the automatic train operation (ATO) function on the basis of the traditional train control system and has been successfully applied on the Guanhui Line. Early establishment of a simulation system platform with wide applicability for the system can play an important role in shortening system development time, testing system operation, and training field workers. Multi-resolution modeling can describe the system from different levels and different angles. The modeling results can be combined with distributed simulation to establish a corresponding simulation application platform. Based on the different levels of detail in information interaction, this paper adopts multi-resolution modeling method and selects the operation scenes of train automatic operation and precise stop at the station to establish the train section status model, train pulling in model, and ATO control realizing model to perform the system from low, medium, and high resolution levels. In addition, choose the formal method based on the DEVS-based MRME to formally describe the model, verify the rationality of the model, and lay a theoretical foundation for the subsequent model research and simulation platform establishment.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124410379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信