2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)最新文献_第4页

Optimal train scheduling under a flexible skip-stop scheme for urban rail transit based on smartcard data 基于智能卡数据的城市轨道交通灵活跳站方案下的列车优化调度

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588545

Pei-tong Zhang, Xiaobo Liu, Mei Chen

{"title":"Optimal train scheduling under a flexible skip-stop scheme for urban rail transit based on smartcard data","authors":"Pei-tong Zhang, Xiaobo Liu, Mei Chen","doi":"10.1109/ICIRT.2016.7588545","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588545","url":null,"abstract":"Skip-stop operation is a low cost approach to improving transit operating speed. This paper proposes a new methodology to design a skip-stop strategy for urban rail lines aiming to minimize total travel time while at the same time serve the maximum number of passengers in off-peak hours. Different from the conventional “A/B” scheme, the proposed new scheme called the Flexible Skip-Stop Scheme (FSSS) can provide more combinations of stop modes to accommodate passenger demand. The train headway is optimized, while the train capacity is taken into consideration. A Genetic Algorithm is developed to efficiently search for the optimal solution. Based on one-way real passenger origin-destination (O-D) pairs and entry and exit time data at the stations obtained from the smartcard system, a case study on a single metro rail line in the City of Shenzhen has been conducted. Kinds of scenarios are designed, the privilege of the station which able to be skipped is limited to specific stations according to their passenger flow. Results show that the high demand station trends to achieve the optimal under the All-stop scheme, while skip a low demand station would bring sizable savings for total passenger travel time. This can effectively limit the feasible solution set and reduce the computation time. In addition, tests show that the model can produce skip-stop schedules that not only decrease the total passenger travel time at a given service level, but it also generates significant transit agency cost savings, while the number of skipped stations of the optimized skip-stop operation scheme remains stable.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132265060","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

Research on new traction power system using power flow controller and Vx connection transformer 采用潮流控制器和Vx连接变压器的新型牵引电力系统的研究

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588719

Xiaozhou Zhu, Minwu Chen, Shaofeng Xie, Jie Luo

引用次数: 11

Managing rail corrugation through modelling, simulation, and instrumentation technologies 通过建模，仿真和仪器技术管理轨道波纹

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588748

Andrew Keong Ng, Zulkifli Bin Alias, Jean-Francois Chassin, J. H. Yebra

{"title":"Managing rail corrugation through modelling, simulation, and instrumentation technologies","authors":"Andrew Keong Ng, Zulkifli Bin Alias, Jean-Francois Chassin, J. H. Yebra","doi":"10.1109/ICIRT.2016.7588748","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588748","url":null,"abstract":"Rail corrugation is a common rail roughness phenomenon that can deteriorate the reliability, availability, maintainability, and safety of rail transportation. Detection of rail corrugation via the human eyes are labour-intensive and time-consuming. Furthermore, treatment of rail corrugation through routine rail grinding does not stop corrugation from recurring. To better control and monitor rail corrugation growth, this paper (1) reviews and discusses various causes and contributing factors of rail corrugation, as well as (2) compares and contrasts different direct and indirect technologies for measuring rail corrugation. The contributing factors include track system and geometry; rail metallurgy, padding and fastening; as well as sleeper metallurgy and spacing. The instrumentation technologies comprise corrugation analysis trolley, acoustic measurement system, vibration measurement system, hollow shaft sensing system, and onboard monitoring system. Dynamic simulation models and system designs, along with signal processing algorithms, are presented and described with statistical findings from simulations and field experiments. Results are encouraging, opening more research and development opportunities to better manage rail corrugation.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133601450","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: 5

A scalable software framework for real-time data processing in the railway environment 用于铁路环境下实时数据处理的可扩展软件框架

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588728

J. Bhatti, D. Van Den Wouwer, W. Kerckhove, T. Dupont, B. Volckaert

{"title":"A scalable software framework for real-time data processing in the railway environment","authors":"J. Bhatti, D. Van Den Wouwer, W. Kerckhove, T. Dupont, B. Volckaert","doi":"10.1109/ICIRT.2016.7588728","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588728","url":null,"abstract":"Today, railway actors (including passengers and crew members) obtain information by actively hunting for relevant data in various places - manually linking their personal profile with public transportation time tables, floor plans from railway and underground stations, weather forecasts, etc. Despite the availability of a variety of travel-related data sources, accurate delivery of relevant, timely information to these railway actors is still inadequate. This paper presents a solution to the abovementioned problem in the form of a scalable software framework that is able to interface with any type of (open) data. The framework aggregates a variety of data sources to create tailor-made knowledge, tuned to the dynamic profiles of railway users. The needs of these railway users were extracted using novel user experience techniques in order to determine the requirements of this framework. The resulting OSGi-based framework architecture is two-layered. Core functionality, including predefined load balancing strategies, is implemented in the generic base layer, on top of which a use case specific layer - that is able to cope with the specifics of the railway environment - is built. Data entering the framework is intelligently processed and the result is made available to railway vehicles and mobile devices through REST endpoints.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133632520","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

Intelligent Platform Management 智能平台管理

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588724

A. Phasouliotis, Colin Williams

{"title":"Intelligent Platform Management","authors":"A. Phasouliotis, Colin Williams","doi":"10.1109/ICIRT.2016.7588724","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588724","url":null,"abstract":"Getting passengers on and off trains efficiently is a fundamental requirement for all passenger railway services. For high frequency services, this process takes the majority of time during a station stop. The speed and reliability of this process drives the station dwell time and hence the potential journey timetable and capacity. Existing UK platform dispatch protocols to assist passengers boarding trains are labour-intensive, inconsistently applied and inflexible. Studies have shown that passengers tend to group near platform stairs without prior indication where to stand. Furthermore, on trains without through walkways passengers tend to stay in their carriage even if full and this creates an imbalance of carriage utilisation, which impacts on operations and the passengers' experience alike. To address these problems, the `Intelligent Platform Management' system is proposed, which utilises an intuitive and easily distinguishable indication to inform passengers of space availability on an approaching train. Benefits of employing the proposed solution include: dwell time reduction, increased capacity, better platform management, enhanced customer satisfaction and increased safety. This paper explores what such a system would look like, how it works, the potential benefits and the technical, operational and cultural challenges to making such a system a reality.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116110834","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

Robustness study of ZigBee networks in an EM environment for railway signalling systems 铁路信号系统电磁环境下ZigBee网络鲁棒性研究

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588550

Armando Mendez-Villalon, S. Greedy, David W. P. Thomas

{"title":"Robustness study of ZigBee networks in an EM environment for railway signalling systems","authors":"Armando Mendez-Villalon, S. Greedy, David W. P. Thomas","doi":"10.1109/ICIRT.2016.7588550","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588550","url":null,"abstract":"Railway signaling systems are used to efficiently control railway traffic to maximize the throughput of rolling stock on the railway network without compromising security and safety, allowing railway transportation operators to allocate a greater number of trains on the same track. Current U.K. signaling systems rely on a physical interconnection grid for power supplying and data transferring. Hence, a very high cost is related to infrastructure. Therefore, there is a need for a low cost, low power modular wireless system, able to be easily deployed and incorporated within existing signaling networks. In this paper, the study of a low cost, low power communication system is addressed. Sequentially, an alternative modular wireless solution is presented, based on ZigBee-Protocol, followed by a performance analysis tests, evaluated in terms of coverage, network throughput and data capacity, conducted in two different scenarios: an outdoor environment and in an synthetic environment created within a reverberation chamber in presence of realistic sources of electromagnetic interference. The results of these tests are used as guidelines to produce a wireless signaling system able to be placed on trackside, allowing node-to-node and node-to-train communication.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132546729","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: 3

Modeling of ZPW-2000A frequency-shift and pulse track circuit ZPW-2000A移频与脉冲跟踪电路的建模

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588716

Zhichao Qiao, Zhixin Wang, Lu Zhang

引用次数: 1

Real-time decision-support algorithms to optimize train order at junctions 实时决策支持算法优化路口列车秩序

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588544

François Ramond, Adrien Boillot, Nicolas Marcos

{"title":"Real-time decision-support algorithms to optimize train order at junctions","authors":"François Ramond, Adrien Boillot, Nicolas Marcos","doi":"10.1109/ICIRT.2016.7588544","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588544","url":null,"abstract":"In this paper, we present a real-time decision support system whose objective is to propose the best order of trains to run at junctions in dense areas, based on passenger punctuality. This question typically arises when two branches of a railway line (say, A and B) coming from different origins in the network merge, and trains coming from these two branches must use the same track after the junction. For each couple of trains on both branches, a choice has to be made on which train should run first after the junction: train coming from A or from B? This choice can have a significant impact on the operating performance, and, to be efficient in terms of passenger quality of service, should take into account a large amount of information on the position of trains currently running before and after the junction, their service, the number of passengers on each origin-destination pair at a given time... A first real-world experiment was carried out during fall 2015 at one of the most highly used junctions in the Parisian area. This experiment was performed using a software prototype relying on a dedicated approach combining real-time data treatment, operations research and simulation algorithms.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124387070","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

Intelligent fault diagnosis and prediction technologies for condition based maintenance of track circuit 基于状态维护的轨道电路智能故障诊断与预测技术

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588745

Xiaoming Wang, Jin Guo, Lei Jiang, Jiawei Fu, Bin Li

{"title":"Intelligent fault diagnosis and prediction technologies for condition based maintenance of track circuit","authors":"Xiaoming Wang, Jin Guo, Lei Jiang, Jiawei Fu, Bin Li","doi":"10.1109/ICIRT.2016.7588745","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588745","url":null,"abstract":"Condition based maintenance (CBM) is considered to be the most effective maintenance strategy in a performance contract. It significantly increases the system availability and efficiency, meanwhile reduces service affecting faults and maintenance cost, especially when combined with online monitoring of real-time condition data of assets. For the above reasons, CBM has been paid more attention in railway signal system. Under the basic principle of CBM, this paper studies the key maintenance technologies of ZPW-2000 track circuit, specifically relating to information collection, fault diagnosis and state prediction. Among them, the centralized signaling monitoring system is responsible for track circuit information collection as well as the preliminary state alarms. For advanced fault diagnosis on monitoring data, a fuzzy neural network (FNN) model is constructed based on the concept of fault tree. After training, the FNN model can realize fault diagnose in real-time. Moreover, a gray GM(1,1) predictor is further studied to estimate the evolution trend of system condition. Simulation experiments show that the proposed diagnosis and prediction methods are efficient, which makes it possible to realize the predictive maintenance of track circuit in real-time.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114627253","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

Automatic railway track surveillance using a dGNSS enabled Mobile onboard unit in loading optimization 自动铁路轨道监控使用dGNSS启用移动车载单元加载优化

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2016-08-01 DOI: 10.1109/ICIRT.2016.7588743

M. Novák, Christian Herneth, Gerhard Ankerl

引用次数: 0