Journal of Rail Transport Planning & Management最新文献_第4页

Modeling of impact of operations and maintenance on safety, availability, capacity, and cost of Railways-A System dynamics approach 运营和维护对铁路安全、可用性、运力和成本影响的建模--系统动力学方法

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2024-07-08 DOI: 10.1016/j.jrtpm.2024.100463

Katleho R.M. Mafokosi , Jan-Harm C. Pretorius , Gopinath Chattopadhyay

{"title":"Modeling of impact of operations and maintenance on safety, availability, capacity, and cost of Railways-A System dynamics approach","authors":"Katleho R.M. Mafokosi , Jan-Harm C. Pretorius , Gopinath Chattopadhyay","doi":"10.1016/j.jrtpm.2024.100463","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2024.100463","url":null,"abstract":"<div><p>the transport infrastructure, particularly the railway infrastructure plays a vital role in the delivery of freight and the transportation of people. The ability and reliability of the railway infrastructure to deliver goods and transport people are challenged by train derailments and collisions caused by infrastructure breakdowns. Lack of maintenance has been identified as one of the causes of infrastructure breakdowns leading to accidents. The current paper proposes that if the railway infrastructure safety, availability, capacity, and cost are modeled using system dynamics, the impact of infrastructure operation and maintenance on safety can be predicted more accurately. The paper follows systems thinking approach that aims to understand the railway infrastructure as a system, by defining the system structure, system component relationships, and system behavior. The impact on railway infrastructure is modeled using system dynamics by developing causal loop diagrams and stock and flow diagrams which define the system structure, and system component relationships, and models the system behavior of safety, availability, capacity, and cost.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"31 ","pages":"Article 100463"},"PeriodicalIF":2.6,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2210970624000337/pdfft?md5=1b580f57352c573e022549d1728c0c21&pid=1-s2.0-S2210970624000337-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141582689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A mathematical model for a two-service skip-stop policy with demand-dependent dwell times 根据需求确定停留时间的双服务跳站政策数学模型

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2024-07-05 DOI: 10.1016/j.jrtpm.2024.100461

Rodolphe Farrando , Nadir Farhi , Zoi Christoforou , Alain Urban

{"title":"A mathematical model for a two-service skip-stop policy with demand-dependent dwell times","authors":"Rodolphe Farrando , Nadir Farhi , Zoi Christoforou , Alain Urban","doi":"10.1016/j.jrtpm.2024.100461","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2024.100461","url":null,"abstract":"<div><p>This paper presents a discrete-event model for a mass-transit line operated with a two-service skip-stop policy while allowing for train dwell times to vary according to passengers’ demand volumes. The model is formulated by two mathematical constraints on the train’s travel and safe separation times that govern the train dynamics on the line. In addition, the model takes into account trains’ dwell times, which are affected by both the services offered by the operator and passenger demand. The model is written in the max-plus algebra, a mathematical framework that allows us to derive interesting analytical results, including the fundamental diagram of the line, which describes the relationship between the average train time headway (or frequency), the number of trains running on the line and the passenger travel demand. The paper also derives indicators that are capable of quantifying and, thus, assessing the impact of a skip-stop policy on passengers’ travel. Finally, the paper compares two different passenger demand profiles. Results show that long-distance passengers mainly benefit from skip-stop policies, while short-distance travelers may experience an increase in their travel time. For long-distance passengers, the increase in the waiting time is counterbalanced by the decrease in the in-vehicle time, leading to an overall decrease in total passenger travel time.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"31 ","pages":"Article 100461"},"PeriodicalIF":2.6,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141539906","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

Formulation of train routing selection problem for different real-time traffic management objectives 针对不同实时交通管理目标的列车路由选择问题表述

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2024-06-14 DOI: 10.1016/j.jrtpm.2024.100460

B. Pascariu , M. Samà , P. Pellegrini , A. D’Ariano , J. Rodriguez , D. Pacciarelli

{"title":"Formulation of train routing selection problem for different real-time traffic management objectives","authors":"B. Pascariu , M. Samà , P. Pellegrini , A. D’Ariano , J. Rodriguez , D. Pacciarelli","doi":"10.1016/j.jrtpm.2024.100460","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2024.100460","url":null,"abstract":"<div><p>The train routing selection problem (TRSP) addresses the optimized selection of alternative routes as a preliminary step for real-time railway traffic management problem (rtRTMP). In the TRSP, route selection relies on estimating potential delays resulting from scheduling decisions. The selected routes are then exclusively applied in the rtRTMP. While prior research established the mathematical model and solution algorithms for the TRSP, its practical application in real-time rail traffic management remains limited. The existing TRSP model focuses on a single objective function for the rtRTMP. However, in practice, various stakeholders may prioritize different objectives, leading to diverse objective functions employed in the rtRTMP. This paper extends the TRSP model by considering a range of suitable objectives for the rtRTMP. We formulate the TRSP for each objective function and enhance the cost estimation model to evaluate the correspondence between the TRSP and rtRTMP objective functions. We then assess the overall effectiveness of the TRSP for the rtRTMP through an evaluation that takes into account several configurations of the model and the rtRTMP solution approach used. Our purpose is to enlarge the applicability of the TRSP and enhance the efficiency of the rtRTMP for real-world systems. The paper includes an in-depth computational analysis of two French case studies to investigate the performance of the TRSP across different rtRTMP configurations.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"31 ","pages":"Article 100460"},"PeriodicalIF":3.7,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141324876","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

Deep reinforcement learning with predictive auxiliary task for autonomous train collision avoidance 带预测性辅助任务的深度强化学习用于自动列车防撞

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2024-06-10 DOI: 10.1016/j.jrtpm.2024.100453

Antoine Plissonneau , Luca Jourdan , Damien Trentesaux , Lotfi Abdi , Mohamed Sallak , Abdelghani Bekrar , Benjamin Quost , Walter Schön

{"title":"Deep reinforcement learning with predictive auxiliary task for autonomous train collision avoidance","authors":"Antoine Plissonneau , Luca Jourdan , Damien Trentesaux , Lotfi Abdi , Mohamed Sallak , Abdelghani Bekrar , Benjamin Quost , Walter Schön","doi":"10.1016/j.jrtpm.2024.100453","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2024.100453","url":null,"abstract":"<div><p>The contribution of this paper consists of a deep reinforcement learning (DRL) based method for autonomous train collision avoidance. While DRL applied to autonomous vehicles’ collision avoidance has shown interesting results compared to traditional methods, train-like vehicles are not currently covered. In addition, DRL applied to collision avoidance suffers from sparse rewards, which can lead to poor convergence and long training time. To overcome these limitations, this paper proposes a method for training a reinforcement learning (RL) agent for collision avoidance using local obstacle information mapped into occupancy grids. This method also integrates a network architecture containing a predictive auxiliary task consisting in future state prediction and encouraging the intermediate representation to be predictive of obstacle trajectories. A comparison study conducted on multiple simulated scenarios demonstrates that the trained policy outperforms other deep-learning-based policies as well as human driving in terms of both safety and efficiency. As a first step toward the certification of a DRL based method, this paper proposes to approximate the policy learned by the RL agent with an interpretable decision tree. Although this approximation results in a loss of performance, it enables a safety analysis of the learned function and thus paves the way to use the strengths of RL in certifiable algorithms. As this work is pioneering the use of RL for collision avoidance of rail-guided vehicles, and to facilitate future work by other engineers and researchers, a RL-ready simulator is provided with this paper.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"31 ","pages":"Article 100453"},"PeriodicalIF":3.7,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141303993","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

Clustering railway passenger demand patterns from large-scale origin–destination data 从大规模始发站数据中归类铁路旅客需求模式

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2024-05-22 DOI: 10.1016/j.jrtpm.2024.100452

{"title":"Clustering railway passenger demand patterns from large-scale origin–destination data","authors":"","doi":"10.1016/j.jrtpm.2024.100452","DOIUrl":"10.1016/j.jrtpm.2024.100452","url":null,"abstract":"<div><p>Train passenger demand fluctuates throughout the day. In order to let train services, such as the line plan and timetable, match this fluctuating demand, insights are needed into how the demand is changing and for which periods the demand is relatively stable. Hierarchical clustering on both regular and normalized origin–destination (OD) data is used to determine for each workday continuous time-of-day periods in which the passenger demand is homogeneous. The periods found for each workday are subsequently used as input in a clustering algorithm to look for similarities and differences between workdays. The methods for finding homogeneous periods during the day and week are applied to a case study covering a large part of the railway network in the Netherlands. We find large differences between the periods based on regular OD matrices and those based on normalized OD matrices. The periods based on regular OD matrices are more compact in terms of passenger volumes and average kms travelled and therefore more suitable to use as input for designing a service plan. Comparison of different workdays shows that mainly the peak periods on Friday are far away from Monday to Thursday, and hence could benefit from an altered service plan.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"31 ","pages":"Article 100452"},"PeriodicalIF":2.6,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2210970624000222/pdfft?md5=e3307aa4033adaabcf9e162d7b3955a9&pid=1-s2.0-S2210970624000222-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141133705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Train separation at cruising speed, how it can improve current railway operations 列车以巡航速度分离，如何改善目前的铁路运行状况

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2024-05-17 DOI: 10.1016/j.jrtpm.2024.100451

Michael Nold, Francesco Corman

引用次数: 0

Analyzing the impact of timetable elements on railway line capacity 分析时刻表要素对铁路线路能力的影响

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2024-05-11 DOI: 10.1016/j.jrtpm.2024.100450

Qinglun Zhong , Libin Zang , Rudong Yang , Zhao Sheng , Ruihua Xu

{"title":"Analyzing the impact of timetable elements on railway line capacity","authors":"Qinglun Zhong , Libin Zang , Rudong Yang , Zhao Sheng , Ruihua Xu","doi":"10.1016/j.jrtpm.2024.100450","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2024.100450","url":null,"abstract":"<div><p>Train timetabling poses inherent challenges, prompting the need to enhance existing schedules by extracting valuable insights from the current timetable structure. By such philosophy, this paper studies the impact of timetable elements on the consumed capacity. These elements primarily encompass train operation parameters, including running times and stop plans. Their impact is defined as the deviation of consumed capacity relative to their variations. We initially establish a link between consumed capacity and timetable elements. This relationship is articulated as the signed sum of timetable elements along a designated ”critical path”. Then, the limited impact of any timetable element is clarified, namely changing an element can impact the consumed capacity with its neighbor trains in a combinatorial way. With this knowledge, we analyze the impact of a single element, using stop plans for example. This result is then generalized into analyzing the impact of several dependent and independent stop plans. The findings on capacity calculation and impact analysis of a single element are tested through real-world numerical computations and then extended to analyzing various capacity factors, such as average speed and heterogeneity.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"30 ","pages":"Article 100450"},"PeriodicalIF":3.7,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140906444","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

Railway signals passed at danger: A bibliometric analysis 在危险中通过的铁路信号：文献计量分析

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2024-05-09 DOI: 10.1016/j.jrtpm.2024.100449

Satish Ajabrao Ambhore , Valentino Sangiorgio , Richard van der Weide

引用次数: 0

What fosters shippers’ rail dispreference? Insights from Indian steel-makers with disparate output volumes 是什么助长了托运人对铁路的偏好？产量不同的印度钢铁制造商的启示

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2024-05-02 DOI: 10.1016/j.jrtpm.2024.100447

J Ajith Kumar , Sayan Mukherjee , Alok Baveja , K. Narayan , Rajiv Misra

{"title":"What fosters shippers’ rail dispreference? Insights from Indian steel-makers with disparate output volumes","authors":"J Ajith Kumar , Sayan Mukherjee , Alok Baveja , K. Narayan , Rajiv Misra","doi":"10.1016/j.jrtpm.2024.100447","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2024.100447","url":null,"abstract":"<div><p>Over time, rail's share of the freight market has steadily decreased and, currently, is significantly lower than that of the road. This study explores what fosters shippers' rail dispreference. The study is conducted in the domain of outbound logistics in the steel-making industry in India. Twenty-one industry experts are interviewed in-depth to capture their perceptions, and their responses are analysed. Of these, seven are industry experts, and the remaining fourteen are logistics managers working across two steel plants, among which the annual output of one is about ten times that of the other. We find that a capacity shortage in the rail sector and the monopoly position of the rail transport provider together foster multiple factors that drive shippers' rail dispreference. Further, shipper firm size moderates the influence of some of these factors, influencing shippers' rail dispreference to a lesser extent in the larger firms than in the smaller ones. The study highlights the realization that while increasing rail capacity is necessary, it is not enough by itself, but must be complemented by targeted policy changes. The study brings to the forefront the roles played by rail capacity shortage, rail monopoly position, and shipper firm size in shippers' rail dispreference.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"30 ","pages":"Article 100447"},"PeriodicalIF":3.7,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140822838","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

Forecasting train arrival delays on the Ankara – Eskişehir high-speed line in Turkey 预测土耳其安卡拉-埃斯基谢希尔高速铁路列车到达延误情况

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2024-04-20 DOI: 10.1016/j.jrtpm.2024.100448

Özgül Ardıç

{"title":"Forecasting train arrival delays on the Ankara – Eskişehir high-speed line in Turkey","authors":"Özgül Ardıç","doi":"10.1016/j.jrtpm.2024.100448","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2024.100448","url":null,"abstract":"<div><p>Railway operations may experience delays due to technical issues or weather conditions. Accurate prediction of such delays can enhance the quality of rail transport services and the effectiveness of railway operations. The study has developed the arrival delay prediction model using random forest regression based on the train operation data from the Ankara - Eskişehir high-speed train line in Turkey. The model can simultaneously predict arrival delays at all downstream stations on this line and continuously update these predictions as new information about train movements becomes available. The accuracy rates of the model vary from 76% to 99% under a 1-min prediction error. The results show that incorporating variables related to weather conditions and technical problems related to train control systems into the model improves prediction performance. The contribution of these variables to the model performance increases as the prediction horizon widens. The model results suggest that the model predictions may assist network managers in making better decisions about train operations. In order to evaluate the model's performance from the passengers' point of view, the study has proposed two methods: the proportion of late predictions and the stability of forecasts. The findings indicate that most trains (between 96.7% and 99%) have stable arrival delay predictions at target stations. The proportion of 2-min (or greater) late predictions, which means that the predicted delay exceeds the actual delay by 2 min or more, fluctuates from 14% to 0.5%, depending on the prediction horizon. Although the ratio for the short horizons (one station ahead) becomes relatively low, it is necessary to be cautious when using the model predictions to inform passengers because a prediction of more than 1 min late for short horizons might have negative consequences (e.g., misleading passengers to leave stations).</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"30 ","pages":"Article 100448"},"PeriodicalIF":3.7,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140622452","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