A. Naghiyev, S. Sharples, B. Ryan, A. Coplestone, M. Carey
{"title":"Real world verbal protocol data analysis of European Rail Traffic Management System train driving and conventional train driving","authors":"A. Naghiyev, S. Sharples, B. Ryan, A. Coplestone, M. Carey","doi":"10.1109/ICIRT.2016.7588731","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588731","url":null,"abstract":"The European Train Control System (ETCS) as part of the ERTMS (European Rail Traffic Management System) is a train automation and control system, which has been introduced into the UK rail network, triggering a need to understand its impact on the train driving task and train driver behaviour. In particular, an industry requirement for Human Factors (HF) research and the necessity to understand the effect ERTMS has on drivers' cognitive strategies and demands. A real world exploratory eye-tracking study was conducted with both conventional and ERTMS drivers on their normal timetabled routes. In addition to the eye movement measures, a mixture of concurrent and retrospective verbal protocol data was collected and analysed using thematic analysis. The verbal dataset provides explanations for any differences in visual behaviour between ERTMS drivers and conventional drivers. The findings provide some deeper qualitative analysis to the reason behind the shift of typical visual attentional strategy from monitoring outside on the tracks to speed information inside the cab.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"16 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":"134023637","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":"Supervision and rescheduling of a mixed CBTC traffic on a suburban railway line","authors":"Juliette Pochet, Sylvain Baro, G. Sandou","doi":"10.1109/ICIRT.2016.7588547","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588547","url":null,"abstract":"Railway companies need to achieve higher capacities on existing infrastructures such as high density suburban mainlines. Communication based train control (CBTC) systems have been widely deployed on dedicated subway lines. However, deployment on shared rail infrastructure, where CBTC and non-CBTC trains run, leads to a mixed positioning and controlling system with different precision levels and restrictions. New performance and complexity issues are to arise. In this paper, a method for rescheduling adapted to a CBTC system running in a mixed traffic, is introduced. The proposed method is based on a model predictive control (MPC) approach. In each step, a genetic algorithm with new mutation mechanisms solves the problem to optimize the cost function. It determines the dwell times and running times of CBTC trains, taking into account the non-CBTC trains planning and fixed-block localization. In addition, reordering can be allowed by modifying the problem constraints. The work is supported by a simulation tool developed by SNCF and adapted to mixed traffic study. The approach is illustrated with a case study based on a part of an East/West line in the Paris region network, proving the ability of the method to find good feasible solutions when delays occur in traffic.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"32 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":"124066299","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":"Development of a high-level feasibility analysis model for the selection of railway upgrade options","authors":"Xindi Chen, G. Nicholson, C. Roberts","doi":"10.1109/ICIRT.2016.7588737","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588737","url":null,"abstract":"Currently, many railway systems need to be upgraded to meet the demand for rapidly increasing railway capability, while there is a lack of the right models and tools required to support the early decision making stage of railway system upgrade projects. A rail selection upgrade process, combining macroscopic and microscopic simulation, has been developed to find appropriate and systematically selected solutions for railway system upgrade projects. As part of the approach, a high-level feasibility analysis model is developed in this research for determining serious candidate solutions from a large number of possible upgrade options in a quick and effective way. This paper outlines the development process and verification of this model's feasibility.","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":"128819079","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 next ETCS Level?","authors":"Colin Williams","doi":"10.1109/ICIRT.2016.7588713","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588713","url":null,"abstract":"How can the railways be full if the lines are empty most of the time? That is the question the general public asks when railway companies say they cannot add additional services because the lines have reached maximum capacity; and it is a valid one. Mainline railways currently use a system of safe operation known as `absolute block', whereby trains are kept a safe distance apart using a principle that only one train may occupy a particular block at any one time. Traditionally, such systems are designed around the worst braking train on the route; meaning better braking trains are potentially braking earlier than necessary, hindering capacity. ETCS has the potential to improve capacity through separating trains based on their individual braking performance and the moving block capability of Level 3. However, even more capacity could be unlocked through a principle known as `closer running'. This concept is sometimes referred to as `relative block', where trains are separated according to their current relative speed, braking capability and location. This paper explores what such a system might look like, how it might work, and describes the potential benefits and safety, technical, operational and cultural challenges to making it a reality.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"98 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":"117207419","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}
Yuemiao Wang, Lei Chen, Jinwen Wei, D. Kirkwood, Qian Xu, J. Lv, C. Roberts
{"title":"On-line conformance testing of the Communication-Based Train Control (CBTC) system","authors":"Yuemiao Wang, Lei Chen, Jinwen Wei, D. Kirkwood, Qian Xu, J. Lv, C. Roberts","doi":"10.1109/ICIRT.2016.7588751","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588751","url":null,"abstract":"As metro systems have become more advanced, Communication-Based Train Control (CBTC) has been increasingly valued because of its characteristics. It is, however, necessary to guarantee that the CBTC system is safe so that the safety of the whole metro system can be improved. Traditional off-line testing methods are widely used to determine whether the CBTC system complies with the desired specification, but unfortunately these testing methods are becoming insufficient due to the growing complexity and wider functional coverage requirements of the system. In particular, off-line testing methods ask for a deterministic system while the CBTC system is usually non-deterministic. To solve the problem, we propose an on-line testing method, based on a micro railway simulator and the testing tool UPPAAL-TRON, by generating and executing test cases simultaneously. Firstly, we applied the theory of Timed Automata (TA) to model a general routing procedure of the CBTC system. Secondly, the observable abstract variables in the TA-based model were mapped to the simulated variables in our micro railway simulator and the simulated variables were connected to the SUT's variables. Then, we processed the TA-based model via a black-box conformance testing tool UPPAAL-TRON to generate and execute the test case simultaneously. Finally, we analysed the testing results to determine the test coverage and to find out whether there are inconsistencies between the SUT design and its testing specification.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"172 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":"114737776","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}
M. A. Selver, E. Y. Zoral, B. Belenlioglu, Yasin Soyaslan
{"title":"Interpolating and denoising point cloud data for computationally efficient environment modeling","authors":"M. A. Selver, E. Y. Zoral, B. Belenlioglu, Yasin Soyaslan","doi":"10.1109/ICIRT.2016.7588756","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588756","url":null,"abstract":"Light detection and ranging (LIDAR) is an important component of autonomous vehicles for environment modeling in real time. LIDAR generates a point cloud by analyzing the echo of light pulses scattered from the objects surrounding the train. Since the generated point clouds are too large to be used in practical applications, they need to be converted to a simpler and more compact form, while preserving all of the important features of the environment. Moreover, LIDAR signals are often affected by various noises or interferences, which rapidly decrease the signal-to-noise ratio of the signal with increasing distance. This study proposes a multi-scale analysis (MSA) strategy for interpolation and denoising of LIDAR signals efficiently. The developed method uses a coarse-to-fine hierarchical approximation that incrementally fits LIDAR signals up to a desired degree of accuracy. It is shown on three different signal types that the local analysis of the proposed method can eliminate noise more effectively than filtering and radial basis function based reconstruction of a signal provides computational efficiency compared to wavelet decomposition.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"15 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":"122065754","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":"A human reliability analysis method based on cognitive process model for risk assessment","authors":"Huimin Ye, Wei Zheng","doi":"10.1109/ICIRT.2016.7588763","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588763","url":null,"abstract":"This paper presents a human reliability analysis method based on cognitive process model. Human cognitive processes are modelled in different forms under different risk scenarios respectively. The cognitive process model consists of an event tree based on human cognitive process and Bayesian networks modelling the cognitive phases. The Bayesian networks (combining with evidence theory) use hierarchical structure and take organizational factors, situational factors and individual factors into consideration in a more explicit way than the traditional methods do. This paper also discusses the applicability of this method for the risk assessment of on-board ATP (Automatic Train Protection) of high-speed railway. With the help of this human reliability analysis method, the human reliability of the train driver and accident rate can be calculated accurately. The weakest cognitive phase in particular cognitive process can be identified and enhanced by improving the key organizational factors.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"53 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":"132456804","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":"Anonymity-based data publishing for preserving customer privacy in railway systems","authors":"Yidong Li, Yumeng A, Huifang Li, Hai-rong Dong","doi":"10.1109/ICIRT.2016.7588730","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588730","url":null,"abstract":"In the big data era, data analysis has attracted more and more attentions in many industry areas such as intelligent transportation. The customer information in railway systems is quite valuable for marketing purposes, as it can reflect a user's travel pattern. Therefore, the privacy issues have been brought out. Recently, many studies focus on access control and other traditional security problems in transportation systems, and little studied on the topic of the private data publishing. In this paper, we study the private customer data publishing problem by representing the data with a hypergraph, which is quite efficient to illustrate complex relationships among customers. We provide an anonymity-based approach to hide the identities of customers to protect their sensitive information. We also take data utility into consideration by defining specific information loss metrics. The performances of the methods have been validated by extensive experiments.","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":"130645219","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}
Dongrun Liu, Zhai-jun Lu, Tianpei Cao, Lei Zhang, Chunli Zhu
{"title":"Experimental study on vibration displacement of a CRH2 EMU under strong wind conditions","authors":"Dongrun Liu, Zhai-jun Lu, Tianpei Cao, Lei Zhang, Chunli Zhu","doi":"10.1109/ICIRT.2016.7588757","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588757","url":null,"abstract":"Under strong wind conditions, safety of train operation is seriously being influenced by abrupt change of the aerodynamic force caused by complex terrain and special sections. In this paper, machine vision inspection methods are utilized to vehicle tests conducted on the vibration displacement of a CRH2 electric multiple units (EMU) running in windy conditions, provide basis for ensure the safety of train operation. Experimental results show that under strong wind conditions, the “car-swaying” phenomenon happened when EMU passing through the transition zone of wind proof structures or mutation zones of landform, whilst parameters such as roll angle of car body and lateral displacement of the center of gravity position change significantly. Under this described test conditions, there was no obvious function law between maximum value of roll angle, lateral displacement of center of gravity position, speed of EMU as well as ambient wind. The maximum values of roll angle and lateral displacement of the center of gravity position of the head car are significantly higher than the corresponding values of the tail car. Among all the typical windproof structures, roll angle of car body and lateral displacement of the center of gravity position have the largest maximum values when EMU running in cutting, which shows the worst windproof effect.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"13 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":"132996531","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":"Scenario based STPA analysis in Automated Urban Guided Transport system","authors":"Fei Yan, T. Tang, Hong-wei Yan","doi":"10.1109/ICIRT.2016.7588764","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588764","url":null,"abstract":"Beijing Metro plans to open an Automated Urban Guided Transport (AUGT) Line at the end of 2017. The line will follow GOA4 requirements according to IEC62290-2014 and IEC62267-2009. The main difference between the AUGT line and existing line is no driver or attended people on the train. The system will realize the following functions: Ensure safety movement, Driving Supervising guideway, supervising passenger transfer, Operating a train and Ensuring detection and management of emergency situations. Traditionally, HAZOP (Hazard Operability analysis) or FMEA (Failure Mode and Effect Analysis) method will be used to do the hazard analysis. But the main challenge is that most of human operation and behavior are replaced by equipment in AUGT and it is very difficult to deal with emergency condition. Finally, an operational scenario based method has been used to do hazard analysis which combined with STPA (Systems-Theoretic Process Analysis). As we know, STPA is a systematic analysis method from the view of safety control and it is good at human related error and management related analysis. In this paper, STPA has been used to compare with traditional method. The conclusions are: 1) STPA is more focusing on the safety related interaction and we can easily find the main clue by safety constraints compared to HAZOP; 2) Process Model Analysis should be done in each of scenario in order to find detail safety control measures; 3) In order to identify what could cause the unsafe control action or how control actions may not be executed properly, we also can use low layer control process model to do STPA analysis if we find it is still complex. We can regard this means as nested control process model.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"13 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":"129417591","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}