{"title":"Research and optimal design for MVB baseband transmission system","authors":"Song Juan, Zhou Feng, Xu Feng-kai, Gong Xiao","doi":"10.1109/ICIRT.2013.6696265","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696265","url":null,"abstract":"Regarding frequency band allocation problem faced with the channel multiplexing when combination of train control network and information network, according to the original definition of random process power spectrum, a mathematical model of MVB code is established and a MVB frame head frequency spectrum function is deduced, and different MVB frames power spectrum are calculated and simulated. Then using a design of band-limited filter which can ensure normal safe operation of the baseband transmission system, at the same time which can reduces interference of the baseband signal on the high frequency carrier signal, thus optimizing the bandwidth of the MVB baseband transmission system. Finally, verify the effectiveness of the design through simulation analysis and experimental testing.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"12 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":"123822677","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}
Chenling Li, KaiCheng Li, T. Tao, JiDong Lv, Huang Ling
{"title":"Model-based generation of safety test-cases for Onboard systems","authors":"Chenling Li, KaiCheng Li, T. Tao, JiDong Lv, Huang Ling","doi":"10.1109/ICIRT.2013.6696292","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696292","url":null,"abstract":"As a core subsystem in CTCS-3, the Onboard subsystem is a typical safety-critical system, in which any fault can lead to huge human injury or wealth losing. It is important to guarantee the safety of train control system. Safety testing is an effective method to detect the safety holes and bugs in the system. However, because of the special characters of train control system like diversification, structural complexity and multiplicity of interfaces, most safety testing for train control system are manually executed based on specialistic experience, which leads to a huge testing workload. Besides, manual generation will easily cause the problem of missing test cases. In this paper, a model-based safety test method is introduced. We select a core function of onboard system as the representative to study the method. This function was analyzed by Fault Tree Analysis (FTA) to get the bottom events, which are used to turn to fault models being injected into the whole system model, affected system safety, and a set of timed automata network model of the core function is built using the tools of UPPAAL. Then COVER, the real-time test case generation tool, is used to generate the safety test cases from the system model (included fault models) automatically, and states transition criteria is customized based on preferences to achieve user-defined test, the test accuracy and efficiency is improved.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"47 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":"129926708","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}
{"title":"The impact of signaling system heterogeneity on urban transit capacity","authors":"Wei Li, T. Tang","doi":"10.1109/ICIRT.2013.6696280","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696280","url":null,"abstract":"Chinese urban transit are experiencing rapid growth and increasingly need of capacity to accommodate it. Capacity planning requires knowing how the mixture of signaling systems affects capacity. Different signaling systems have different operating characteristics including headway, end of movement authority and braking point. Heterogeneity of signaling systems using in a railway line usually reduces capacity. In this paper, Blocking time model was used to exposit the headway of signaling systems as well as the headway between trains which are running in different signaling systems. Simulation software Railsys was used to analyze the effect on capacity when trains are in different signaling systems sharing a line of Beijing metro. Analyzes included the effect of the continuous transmission-based signaling system (moving-block), the spot transmission-based signaling system (fixed-block) and especially their mix as well as the effect of the percentage of mixture and sequence of trains in different signaling systems. The effect of relationship between capacity and the mixture and sequence of trains was also evaluated as well. These analyses attempt to provide a better understanding of how the signaling systems affect railway capacity and a complete understanding of one factor on capacity. Furthermore, the results can help planners verify if the urban transit lines satisfy the capacity demand and adjust timetable arrangement.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"56 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":"127175710","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}
{"title":"Achieving energy-efficiency and on-time performance with Driver Advisory Systems","authors":"Li Yang, T. Lidén, P. Leander","doi":"10.1109/ICIRT.2013.6696260","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696260","url":null,"abstract":"The development and use of Driver Advisory Systems (DAS) is a topic of growing importance in research and industry today as railways face continuous pressure and challenge to reduce operating costs, improve energy efficiency, increase capacity and minimize environmental impact. DAS provide advice to driver aiming for optimized traffic flow and energy efficient driving. Based on real-time data communication between trains and train control center in combination with a centralized system for calculation of optimal train movements, CATO (Computer Aided Train Operation) offers a state-of-art connected DAS allowing trains to run as efficiently as possible considering the overall traffic situation on a railway line. In order to develop a successful DAS, the requirements for practical operation have to be carefully evaluated and clearly understood before implementation. CATO has been successfully deployed in Sweden and won the UIC Innovation Award for sustainable development. This paper will describe our experiences of important factors needed to achieve a successful DAS deployment, such as human-machine interaction issues, motivation factors, efficient communication and cooperation between train driver and dispatcher, good maintenance tools and continuous evaluation of the system performance.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"6 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":"127802969","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}
Chunghee Lee, Guho Jung, Seungyong Shin, Yangsu Kim, Boyune Song, Jaegue Shin, Sanghoon Chung, Dang-oh Kim, Jahyun Lee
{"title":"Design and introduction of high power transfer system for electrical vehicles","authors":"Chunghee Lee, Guho Jung, Seungyong Shin, Yangsu Kim, Boyune Song, Jaegue Shin, Sanghoon Chung, Dang-oh Kim, Jahyun Lee","doi":"10.1109/ICIRT.2013.6696308","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696308","url":null,"abstract":"KAIST has been developing wireless power charging technology for electric bus and other vehicles, which is divided into two parts, that is, power supply and pick-up systems. In this paper, we proposed wireless power charging system for electric vehicle, especially train and the related some design methods are suggested in this paper. Furthermore, applicability our system is verified through some experimental results at the laboratory set-up and was applied the actual vehicle after some modifications.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"22 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":"114248494","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}
Jin Shi, Weichao Liu, Ming Jiang, Huijun Che, Lei Chen
{"title":"Software hardware co-simulation and co-verification in safety critical system design","authors":"Jin Shi, Weichao Liu, Ming Jiang, Huijun Che, Lei Chen","doi":"10.1109/ICIRT.2013.6696270","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696270","url":null,"abstract":"This paper introduces a novel software and hardware co-design flow using a co-simulator and a co-verifier platform. In the new design platform, different hardware failures can be injected automatically to test the software protection on potential unsafe behavior of the hardware. The structure of the system is introduced in part II of this paper. In part III&IV, we take a simple circuit as an example to show how we setup the components' model and how our simulation system works. And at last, we make a conclusion on the system, also the problems and challenges we are facing.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"27 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":"125372764","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}
{"title":"Improving safety of level crossings by detecting hazard situations using video based processing","authors":"H. Salmane, L. Khoudour, Y. Ruichek","doi":"10.1109/ICIRT.2013.6696290","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696290","url":null,"abstract":"Road and level crossing safety become a priority issue for the domain of intelligent transportation systems in recent years. This paper presents a video based approach for detecting and evaluating dangerous situations induced by users (pedestrians, vehicle drivers, unattended objects) in level crossing environments. The approach starts by detecting and tracking objects shot in the level crossing area thanks to a video sensor. Then, a Hidden Markov Model is developed in order to recognize ideal trajectories of the detected objects during their tracking. The level of risk for each identified hazard scenario is estimated instantly by using Demptster-Shafer data fusion technique. Three hazard scenarios are tested and evaluated with different real video image sequences: presence of obstacles in the level crossing, presence of stopped vehicles lines, vehicle zigzagging between two closed half-barriers).","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"40 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":"127185962","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}
{"title":"Fault detection method for the rolling bearings of metro vehicle based on RBF neural network and wavelet packet transform","authors":"Yu Xiu-lian, Xing Zong-yi, Yong Qin, Jia Li-min, Cheng Xiao-qing","doi":"10.1109/ICIRT.2013.6696301","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696301","url":null,"abstract":"To detect the rolling bearings fault of metro vehicle, a method combined wavelet packet with RBF neural network is proposed in this paper. Firstly, wavelet denoising is performed for the vibration signal to remove invalid signal. And then, energy characteristic vectors of the fault signals are extracted by wavelet packet decomposing to train the RBF neural network. Finally, the trained RBF neural network is used for fault classification. The diagnostic results show that the proposed method can be used to detect fault types of the metro vehicle rolling bearings precisely.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"118 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":"123236741","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}
{"title":"Study of fault diagnosis method based on fuzzy Bayesian network and application in CTCS-3 train control system","authors":"Jingjing Zhao, Wei Zheng","doi":"10.1109/ICIRT.2013.6696302","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696302","url":null,"abstract":"The fault diagnosis approach based-on Bayesian network is frequently used in fault diagnosis field, has better completeness and explanation facility, but it has some disadvantages due to lack of the quantitative data information, and it is difficult to applied in complicated system, China train control system lever-3 (CTCS-3) is a complicated system with high security requirement, so a Bayesian fuzzy inference nets real-time internal fault diagnostic system for CTCS-3 train control system is proposed. The membership functions and symptom-fault mapping relationship for CTCS-3 fault diagnosis system are obtained from pre-measured experimental data as well as experts' diagnostic experience/knowledge to distinguish the effect of true fault from various factors. The cores dangerous of train control system are supervision and protect against exceedance of safe speed distance and driver exceeds safe speed distance, according the two safety links, first of all, set up fault tree; and then convert to Bayesian network, finally the fuzzy Bayesian network diagnosis arithmetic of fault diagnosis system with accuracy is designed and presented. The validity and effectiveness of the proposed approach is witnessed clearly from the testing results obtained. In the last part of the paper, the fault diagnosis system of CTCS-3 is established by using the fuzzy inference algorithm.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"24 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":"130007883","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}
{"title":"An intelligent train operation algorithm via gradient descent method and driver's experience","authors":"Jiateng Yin, Dewang Chen","doi":"10.1109/ICIRT.2013.6696267","DOIUrl":"https://doi.org/10.1109/ICIRT.2013.6696267","url":null,"abstract":"Most existing train control methods aim to track the target velocity curve offline, which may cause the frequent shit of the controller output, reduced comfort of passengers and increased energy consumption etc. Different from the previous control strategies, this paper presents a new algorithm without using the model information and the offline target velocity curve. The new algorithm is a data-driven intelligent train operation (ITO) algorithm which uses driver's experience to obtain the control strategy and employs input-output data to online optimize by gradient descent method. The proposed algorithm is tested in a Matlab/Simulink simulation model using the actual data from Beijing subway Yizhuang line. Compared with Proportion-integral-derivative(PID), this algorithm is better with less energy consumption, higher comfort, and parking precision and it meets the dynamic adjustment of running time. Moreover, the results of the ITO algorithm look like driver's situation both on trajectory and operation mode conversion.","PeriodicalId":163655,"journal":{"name":"2013 IEEE International Conference on Intelligent Rail Transportation Proceedings","volume":"147 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":"132373649","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}