{"title":"Stochastic scheduling approach for predictive risk-based railway maintenance","authors":"A. Consilvio, A. Di Febbraro, N. Sacco","doi":"10.1109/ICIRT.2016.7588732","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588732","url":null,"abstract":"This paper presents a stochastic model for scheduling predictive and risk-based maintenance activities in rail sector. The novelty of the approach consists of the risk concept introduction in railway maintenance scheduling, thus implying that the maintenance priorities are based on criticality of assets, determined by the relevant failure probability, related to asset degradation conditions, and by the consequent direct and indirect damages. This approach belongs to the framework of “predictive maintenance” which aims at intervening when an asset has reached a certain degradation state, being the future track conditions forecasted by appropriate models. In particular, this work explicitly considers the stochastic nature of risk and of the real-world maintenance operations, introducing stochastic deadlines. In doing so, it is worth noting that, the adaptive rescheduling models only partially solve this issue, since they consider deterministic sub-problems of the overall problem and they cannot vary continuously the stochastic input variables. Therefore, to cope with this problem, in this paper, the risk-based maintenance planning problem is formulated in term of stochastic programming. After providing a formal methodology description, some experimental results are reported and some indications about its future developments are given.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"6 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":"134560195","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}
B. Volckaert, W. Kerckhove, T. Dupont, F. De Turck, D. Van Den Wouwer
{"title":"TRACK/RAILS: An application and content management framework for railway operators","authors":"B. Volckaert, W. Kerckhove, T. Dupont, F. De Turck, D. Van Den Wouwer","doi":"10.1109/ICIRT.2016.7588726","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588726","url":null,"abstract":"Advances made in wireless connectivity (3G, 4G, WiFi, etc.) opened up a whole range of innovations with regards to applications and services deployed in the railway domain. Examples include providing best effort passenger internet access and periodic communication of diagnostic information from train to railway stations and railway control centres. In later stages, new ideas emerged that fully embrace the potential of wireless communication. This paper focuses on detailing a solution to the remote management of content and applications running on a railway fleet. Installation and maintenance of these applications currently requires manual (i.e. on-site/on-train) interventions, which are both costly, as trains need to be taken out of circulation, and error-prone due to the inherent heterogeneity of railway fleet configurations. The distributed framework proposed in this paper allows the complete life cycle of these on-board applications / services to be managed remotely from the wayside, taking into account the unreliable communication channels between wayside and railway fleet.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"21 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":"114531278","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}
Diego Arenas, P. Pellegrini, S. Hanafi, Joaquin Rodriguez
{"title":"Train timetabling during infrastructure maintenance activities","authors":"Diego Arenas, P. Pellegrini, S. Hanafi, Joaquin Rodriguez","doi":"10.1109/ICIRT.2016.7588733","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588733","url":null,"abstract":"Maintenance activities are necessary to maintain the functionality of the railway infrastructure. Commonly, the maintenance activities are planned first. Then, the timetable is elaborated respecting the unavailability periods caused by the former. However, unplanned maintenance activities may have to be introduced at short notice, and the timetable must be rearranged. In addition, specific trains may be necessary to perform maintenance activities, and they are typically not scheduled in the timetable. In this case, the timetable may need to be further modified to integrate the maintenance trains. In this paper, we propose a mixed integer linear programming formulation that modifies a timetable to cope with maintenance activities. It includes the consideration of maintenance trains and other specific constraints, such as temporary speed limitations. In this formulation, the modified timetable is optimized based on a microscopic representation of both the infrastructure and the rolling stock. We test the proposed formulation on a real case study in the French railway network and we show its practical applicability.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"132 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":"121386969","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}
Zhengwei Chen, Tang-hong Liu, Xi-sai Zhou, Xinchao Su
{"title":"Aerodynamic analysis of trains with different streamlined lengths of heads","authors":"Zhengwei Chen, Tang-hong Liu, Xi-sai Zhou, Xinchao Su","doi":"10.1109/ICIRT.2016.7588758","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588758","url":null,"abstract":"Aerodynamic analysis of trains in open air without crosswind was studied using the detached-eddy simulation (DES) method in the present work. Three kinds of train model, with different streamlined lengths of heads but the identical cross section and train length, were investigated. The streamlined lengths are 5m, 9m, and 15m, respectively. To find the influence of streamlined lengths on the aerodynamic properties, the drag coefficient, surface pressure, trackside pressure, slipstream velocity variation along the length of the train and the flow structures around the train, were compared and analyzed. The result of the total drag coefficient decreased 22.4% with the streamlined length increased from 5m to 15m. The longer streamlined length can reduce the strength of vortex shedding and wake flow effectively, and a minor positive pressure area was generated in the nose cone compared to shorter streamlined length.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"3 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":"123932167","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, Ercan Er, B. Belenlioglu, Yasin Soyaslan
{"title":"Camera based driver support system for rail extraction using 2-D Gabor wavelet decompositions and morphological analysis","authors":"M. A. Selver, Ercan Er, B. Belenlioglu, Yasin Soyaslan","doi":"10.1109/ICIRT.2016.7588744","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588744","url":null,"abstract":"Determining the position and the alignment of the rails ahead of a train is an essential element of camera based driver support systems, which aim to detect the obstacles around the railway. Effective extraction of the rails through a camera faces many challenges that cause poor visibility due to several factors including but not limited to bad weather conditions, inverse illumination, shadows, rust, and clustered rails. Moreover, the process should be completed almost in real time without using any explicit knowledge about the train speed or the camera parameters. This study presents a robust approach that partitions a video frame into four regions, each of which is filtered by two-dimensional Gabor wavelets at different scales. Considering the size and the orientation range of the rails at each partition, responses of the Gabor wavelets, which are tuned to specific frequencies, enable rail edge enhancement together with noise filtering. The proposed approach has been applied to several different scenarios and the results indicate that an effective method is developed.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"94 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":"125047615","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}
Y. Tonosaki, M. Miyoshi, Y. Koizumi, T. Takeba, M. Tajima, M. Miyatake
{"title":"Punctual train operation with energy-saving Driving Advisory System in dense traffic railway","authors":"Y. Tonosaki, M. Miyoshi, Y. Koizumi, T. Takeba, M. Tajima, M. Miyatake","doi":"10.1109/ICIRT.2016.7588772","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588772","url":null,"abstract":"This paper describes a concept based on energy-efficient train operation technology. It is known that the energy-saving train driving operation for a train takes the form of an operation of power-coast-brake. However, drivers cannot operate in such strategy when the previous train delays. Some drivers experientially drive trains without stopping between stations. But it is very difficult for less-experiential drivers to drive without stopping stations. We have developed prototype hardware and software for helping driver's operation and evaluated energy consumption and running time by numerical simulation.","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":"127906884","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":"Optimising train axle inspection with the implementation of human-robot collaboration: A human factors perspective","authors":"G. Charalambous, M. Stout","doi":"10.1109/ICIRT.2016.7588741","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588741","url":null,"abstract":"Train axle inspection tasks rely on human operators working in and around depots and pits, searching for and identifying defects, with the use of non-destructive testing methods. Characteristics of the working environment and equipment design increase the likelihood of human error due to a variety of issues such as poor lighting, restricted access, awkward postures and limitations associated with the design of equipment interfaces. The purpose of this discussion paper is to encourage debate amongst the rail industry by proposing a new concept for carrying out this task, namely human-robot collaboration. Literature review from comparable domains has identified that human-collaborative robotic systems have been proposed and developed to optimise asset health monitoring. This concept could potentially be applied to train axle inspection with profound implications. At the same time, it is acknowledged that integrating humans and robotic systems within the same workspace will be a significant challenge and will require a holistic human factors approach. To this end, the latest empirical research on the key human factors that need to be considered, at an organisational and individual level, for the successful integration of humans and robots in industrial applications is presented.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"95 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":"132521998","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":"Modeling and simulation of railway electric traction with vector control drive","authors":"M. Quraan, J. Siam","doi":"10.1109/ICIRT.2016.7588718","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588718","url":null,"abstract":"This paper presents a comprehensive simulation model of a DC traction system with vector control drive. The model of two substation rectifiers in one track section with the conventional two-level traction drive has been proposed which is according to the real situation. The traction motors and a detailed traction load are also included in the model. Analysis and conclusion of simulation results are given, which pointed out the accuracy of the proposed model for the traction load, drive, and train movement.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"75 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":"129365469","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}
Lise Delamare, Andy Lumby, P. Treble, D. Golightly
{"title":"D-MOD Dynamic Modelling of Operator Demand: A new simulator module for the evaluation of signaler's demand","authors":"Lise Delamare, Andy Lumby, P. Treble, D. Golightly","doi":"10.1109/ICIRT.2016.7588755","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588755","url":null,"abstract":"Estimating signaler demand is critical for ensuring signaling workstations are both feasible to run, and acceptable to staff. While human factors tools exist, they are typically manual, time consuming and rely of the skill of an expert. One solution, explored in this paper, is to use signaling simulators to assist in the estimation of demand. Full fidelity signaling simulators are already widely used in the UK. Simulators give the ability to ensure a consistent standard of competency ranging from normal routine tasks to abnormal situations (e.g. faults and failures) monitored by an experienced trainer/assessor. Whilst the original aim of full fidelity simulators was to support training and assessment of signalers, the requirement for an accurate timetable and infrastructure model, and of a realistic workstation Human Machine Interface (HMI), opens up other applications. The aim of the Dynamic Modelling of Operator Demand (DMOD) project is to use the Hitachi Information Control System's simulation environment (TREsim signaling simulator) to deliver a workstation evaluation tool. The paper will present how the existing elements of simulator have been expanded and utilized for demand modelling, covering the architecture of D-MOD, the process of selecting and developing demand metrics, and the design of an HMI to deliver a working proof of concept.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128820637","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":"How do principles for human-centred automation apply to disruption management decision support?","authors":"D. Golightly, N. Dadashi","doi":"10.1109/ICIRT.2016.7588725","DOIUrl":"https://doi.org/10.1109/ICIRT.2016.7588725","url":null,"abstract":"While automation of signal and route setting is routine, the use of automation or decision support in disruption management processes is far less common. Such support offers significant advantages in optimising re-planning of both timetable and resources (crew and rolling stock), and has value in offering a 'shared view' of re-planning across the many actors manage disruption. If this vision is to be realised, however, disruption management decision support and automation must adhere to proven principles for effective human-agent cooperation. This paper synthesises data from a programme of work to understand user requirements for automated disruption support tools. It then compares these outputs with two frameworks for human-centred automation - one general (Klein et al's [2004] ten challenges for automation) and one transport specific (Balfe et al's [2012] principles for transport automation). Emergent design requirements include the need for iterative modification of rescheduling parameters throughout a disruption, visibility of the reasoning behind options, accountability remaining in the hands of disruption controllers, and the need for the automated disruption support tools to take a multi-dimensional view of disruption that varies depending on the event encountered. The paper reflects on the practical utility of high-level design principles for automated disruption support tools.","PeriodicalId":427580,"journal":{"name":"2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123914091","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}