2013 IEEE International Conference on Intelligent Rail Transportation Proceedings最新文献_第6页

Dynamic simulation and performance optimization of wireless communication in urban rail transportation 城市轨道交通无线通信动态仿真与性能优化

2013 IEEE International Conference on Intelligent Rail Transportation Proceedings Pub Date : 2013-08-01 DOI: 10.1109/ICIRT.2013.6696287

Wen Wei, Jin Shi, Ming Jiang, Huijun Che, Lei Chen

引用次数: 2

Nonlinear dynamic responses of long-span suspension bridge with the action of both running train and cross wind 大跨度悬索桥在行车和横风共同作用下的非线性动力响应

2013 IEEE International Conference on Intelligent Rail Transportation Proceedings Pub Date : 2013-08-01 DOI: 10.1109/ICIRT.2013.6696275

Shaoqin Wang, Qin Ma, H. Xia, Zhun Yang

引用次数: 1

Centrality characteristics analysis of urban rail network 城市轨道交通网的中心性特征分析

2013 IEEE International Conference on Intelligent Rail Transportation Proceedings Pub Date : 2013-08-01 DOI: 10.1109/ICIRT.2013.6696309

Tu Yingfei

{"title":"Centrality characteristics analysis of urban rail network","authors":"Tu Yingfei","doi":"10.1109/ICIRT.2013.6696309","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696309","url":null,"abstract":"There is a consensus that the developing the urban rail transit system is the prime way for solving urban traffic problems. Urban rail network has been identified as a complex network. In this paper, three kinds of centrality characteristics of an urban rail network have been analyzed. The degree-based index describes the possible travel activities that travelers can get at a station. The betweenness-based index describes the ability to control the travel activities of a station. The closeness-based index describes the independence or efficiency of a station. Three indices reflect the importance of a station from different viewpoints. Shanghai urban rail network is taken as the object to be analyzed, which consists of 12 lines and 296 stations. The analysis results about the importance of stations and the importance of lines are compared with their operational conditions. It indicates that the closeness centrality is the index most relevant to the operational condition of the line. The centrality characteristics analysis is useful for the urban transit management and operation affairs and is the basic for the network's vulnerability analysis which is important for the safety of urban rail transit system.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131703343","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: 13

Train movement high-level model for real-time safety justification and train scheduling based on model predictive control 基于模型预测控制的列车运行高级模型，用于实时安全论证和列车调度

2013 IEEE International Conference on Intelligent Rail Transportation Proceedings Pub Date : 2013-08-01 DOI: 10.1109/ICIRT.2013.6696266

Yonghua Zhou, Xun Yang, Qiancan Liu, Zhenlin Zhang

{"title":"Train movement high-level model for real-time safety justification and train scheduling based on model predictive control","authors":"Yonghua Zhou, Xun Yang, Qiancan Liu, Zhenlin Zhang","doi":"10.1109/ICIRT.2013.6696266","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696266","url":null,"abstract":"In the infrastructure of networked operation of high-speed trains, the justification of operation safety and the decision of scheduling strategies should be undertaken in a real-time way, which depends on the credible prediction model of train movements. This paper will incorporate the train movement high-level model into the real-time conflict detection and train scheduling based on the principle of model predictive control (MPC). The proposed model describes the restrictive, synergistic and autonomous train movements with continuous accelerations and decelerations in the discrete time and continuous space. The sufficient modeling accuracy can be achieved if the adjustable parameters are properly configured for the MPC-based control and management of train operations. Consequently, the detection of block-section occupation conflicts considering the virtual junctions and the decision of feasible scheduling strategies possess the considerable confidence level and safety guaranty. The conflict detection and the operation optimization are implemented over the rolling horizon according to the real-time feedback information. The numerical results demonstrate the utility and rationality of the proposed model for the real-time safety justification and the scheduling strategy evaluation.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126384871","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

Research of 25 Hz phase sensitive track circuit signal based on CORDIC algorithm 基于CORDIC算法的25hz相敏轨道电路信号研究

2013 IEEE International Conference on Intelligent Rail Transportation Proceedings Pub Date : 2013-08-01 DOI: 10.1109/ICIRT.2013.6696286

Yao Rui, Dai Shenghua, Li Zhengjiao

{"title":"Research of 25 Hz phase sensitive track circuit signal based on CORDIC algorithm","authors":"Yao Rui, Dai Shenghua, Li Zhengjiao","doi":"10.1109/ICIRT.2013.6696286","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696286","url":null,"abstract":"This paper presents that the CORDIC algorithm can produce 25Hz phase sensitive track circuit signal by theoretical analysis, simulation and implementation to solve big volume, noisy and poor precision of the inverter. It theoretically proves that the CORDIC algorithm simulation based on Matlab which applies to produce 25Hz phase sensitive track circuit signal is feasible. By designing experimental platform based on the ARM processor, we produce two different phases of 25Hz sine wave signals outputting from the experiment which phases differ by 90 degrees. It provides the improvement of CORDIC algorithm by analyzing and comparing the arithmetic speeds of floating-point number and fixed-point number. Combining theoretical analysis and calculation, it shows that the improved CORDIC algorithm can achieve the maximum frequency of output signal. Experimental waveforms and experimental data show that the voltage of 25Hz phase sensitive track circuit based on the CORDIC algorithm has the ability of driving binary two track relay. In the end, this paper proves that the improvement of CORDIC algorithm is feasible to produce 25Hz sine signal.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115164515","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

A review of online dynamic models and algorithms for railway traffic control 铁路交通控制在线动态模型与算法研究进展

2013 IEEE International Conference on Intelligent Rail Transportation Proceedings Pub Date : 1900-01-01 DOI: 10.1109/ICIRT.2013.6696281

F. Corman, L. Meng

引用次数: 32