Journal of Rail Transport Planning & Management最新文献

Train rescheduling for a metro corridor under unidirectional disruptions considering the trade-off between confirm phase and interrupt phase 考虑确认阶段与中断阶段权衡的单向中断条件下地铁走廊列车重新调度

IF 2.7

Journal of Rail Transport Planning & Management Pub Date : 2025-07-31 DOI: 10.1016/j.jrtpm.2025.100534

Fangsheng Wang , Xiaoyu Hao , Ruihua Xu

{"title":"Train rescheduling for a metro corridor under unidirectional disruptions considering the trade-off between confirm phase and interrupt phase","authors":"Fangsheng Wang , Xiaoyu Hao , Ruihua Xu","doi":"10.1016/j.jrtpm.2025.100534","DOIUrl":"10.1016/j.jrtpm.2025.100534","url":null,"abstract":"<div><div>Metro systems serve as vital transportation arteries in large cities, playing a crucial role in public transit networks. However, failures such as track blockages, signal malfunctions, or train breakdowns frequently disrupt metro services. Given the substantial impact of different rescheduling strategies on transport capacity, this study incorporates the time required for dispatchers to confirm disruptions. The problem of large-scale rescheduling is reformulated into a two-stage process, the confirm phase and the interrupt phase, to analyze the trade-offs between various rescheduling strategies more effectively. Five rescheduling models are developed, each designed for specific turn-around scenarios, aiming to minimize total delay time and enhance train utilization efficiency. These models account for distinct operational conditions, train scheduling dynamics, and constraints associated with each turn-around type. The proposed rescheduling approach is applied to Shanghai Metro's Line 2, with experimental results confirming its effectiveness. The feasibility of the optimization outcomes is further validated using TPM commercial software. Additionally, the study evaluates the influence of confirmation time and turn-around type on rescheduling outcomes and overall efficiency.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"35 ","pages":"Article 100534"},"PeriodicalIF":2.7,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738500","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

Impact of track discretisation on conflict detection and resolution under ETCS with onboard train integrity monitoring 轨道离散化对列车完整性监测下ETCS冲突检测与解决的影响

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-07-08 DOI: 10.1016/j.jrtpm.2025.100533

Nina D. Versluis , Paola Pellegrini , Egidio Quaglietta , Rob M.P. Goverde , Joaquin Rodriguez

{"title":"Impact of track discretisation on conflict detection and resolution under ETCS with onboard train integrity monitoring","authors":"Nina D. Versluis , Paola Pellegrini , Egidio Quaglietta , Rob M.P. Goverde , Joaquin Rodriguez","doi":"10.1016/j.jrtpm.2025.100533","DOIUrl":"10.1016/j.jrtpm.2025.100533","url":null,"abstract":"<div><div>To further improve the capacity on the European railway network, next-generation distance-to-go signalling systems are being developed in the context of the European Train Control System (ETCS). This paper investigates the impact of track discretisation granularity on conflict detection and resolution for ETCS with onboard train integrity monitoring. The study enhances a previously developed model for fixed-block distance-to-go signalling by introducing a track discretisation procedure and reformulating safe train separation constraints at switches. The assessment is performed on a junction and a corridor case study, using track discretisations with maximum section lengths from 50 to 800 m. Though finer discretisations potentially improve the model objective, computation times quickly increase. While the results show minimum effects of the track discretisation on the conflict detection and resolution, they suggest that maximum section lengths of 200 or 400 m may offer a good balance between solution quality and computational complexity, depending on the track layout and traffic density. Generally, reliable rescheduling decisions can already be obtained with a 800-m discretisation.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"35 ","pages":"Article 100533"},"PeriodicalIF":2.6,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580963","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

Analysis of freight train passing a stop signal using machine learning: Application of XGBoost and SHAP 货运列车通过停车信号的机器学习分析：XGBoost和SHAP的应用

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-06-24 DOI: 10.1016/j.jrtpm.2025.100532

Mona Ahmadi Rad , Lianne M. Lefsrud , Michael T. Hendry , Asdrubal Cheng Cen , Sara Soltaninejad

{"title":"Analysis of freight train passing a stop signal using machine learning: Application of XGBoost and SHAP","authors":"Mona Ahmadi Rad , Lianne M. Lefsrud , Michael T. Hendry , Asdrubal Cheng Cen , Sara Soltaninejad","doi":"10.1016/j.jrtpm.2025.100532","DOIUrl":"10.1016/j.jrtpm.2025.100532","url":null,"abstract":"<div><div>Passing a Stop Signal (PASS) is a critical safety concern in railway operations, with the potential to cause serious accidents. This study investigates non-human contributing factors to PASS events in Canadian mainline freight operations using machine learning. We analyze incident narratives from the Rail Occurrence Database System (RODS) through text mining and enrich them with geospatial and weather data. We develop a binary classification model using XGBoost and interpret feature importance and interactions with SHAP (SHapley Additive exPlanations). To address class imbalance and improve model performance, we apply a custom sampling method, combined with hyperparameter tuning and data standardization. Key contributors to PASS events include sharp track curvature near signals, downhill grades, low atmospheric pressure, high relative humidity, non-clear weather, and heavy traffic—placing Rocky Mountain subdivisions among the highest-risk areas. The model also reveals that combinations of environmental conditions, such as low temperature, low pressure, and high humidity, increase the likelihood of PASS events by reducing visibility and braking effectiveness. This study offers methodological and empirical contributions by modelling complex operational contexts, incorporating underexplored environmental factors, and producing region-specific insights. The proposed framework informs proactive safety strategies and supports risk analysis in other linear infrastructure systems.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"35 ","pages":"Article 100532"},"PeriodicalIF":2.6,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144364715","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

System analysis of train operations to improve freight flow on high gradient rail bottleneck section with mixed traffic 混合交通高梯度轨道瓶颈段列车运行改善货流的系统分析

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-06-04 DOI: 10.1016/j.jrtpm.2025.100522

Kritika Karwasra , Narayan Rangaraj , Karuna Nidhi Singh

{"title":"System analysis of train operations to improve freight flow on high gradient rail bottleneck section with mixed traffic","authors":"Kritika Karwasra , Narayan Rangaraj , Karuna Nidhi Singh","doi":"10.1016/j.jrtpm.2025.100522","DOIUrl":"10.1016/j.jrtpm.2025.100522","url":null,"abstract":"<div><div>This paper analyzes the operations of freight trains on high-gradient rail sections, which are common on India’s western and eastern coasts (known as a ghat section). Operations in these sections differ from regular rail operations. Resource usage differs for passenger trains and freight trains and depends on whether the train is ascending or descending the graded section. This creates an imbalance in resource usage and adds complexity to these operations. Priority for passenger trains adds to this complication, making freight train scheduling challenging. This study analyzes different techniques to improve the freight throughput of the graded sections, considering the case study of the Lonavala-Karjat section. Freight trains on this section experience extended delays, leading to a network capacity bottleneck. Identifying the root cause of these delays is not straightforward, as operations are interrelated. Therefore, the study employs a systems thinking approach, beginning with identifying bottleneck resources. A discrete event simulation model is employed due to its ability to replicate complex real-world scenarios and assess the impact of different variables on system performance. Based on the findings, policies are proposed to optimize freight flow on the graded rail section.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"35 ","pages":"Article 100522"},"PeriodicalIF":2.6,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205194","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

Designing an optimized fueling infrastructure for a hydrogen railway system 为氢能铁路系统设计优化的加氢基础设施

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-06-02 DOI: 10.1016/j.jrtpm.2025.100524

Alessio Trivella, Amina Balha, Daniela Guericke

{"title":"Designing an optimized fueling infrastructure for a hydrogen railway system","authors":"Alessio Trivella, Amina Balha, Daniela Guericke","doi":"10.1016/j.jrtpm.2025.100524","DOIUrl":"10.1016/j.jrtpm.2025.100524","url":null,"abstract":"<div><div>Hydrogen use is increasing in transportation, including within the railway sector. In collaboration with a governmental institution in the Netherlands, we study how to design an efficient hydrogen fueling infrastructure for a railway system. The problem involves selecting yards in a network for hydrogen fueling, assigning trains to these yards, locating hydrogen storage and fueling stations, and connecting them via pipelines. This key planning phase must avoid oversizing costly fueling infrastructure while accounting for track availability at yards and costs due to fueling operations. We formulate this novel problem, which has the structure of a nested facility location problem, as a mixed-integer linear program to minimize total annualized investment and operational costs. Due to the complexity of real-sized instances, we propose a matheuristic that estimates the infrastructural costs for each yard and train assignment by combining a constructive algorithm with a set covering model. It then solves a single-stage facility location problem to select yards and assign trains, followed by a yard-level improvement phase. Numerical experiments on a real Dutch case show that our approach delivers high-quality solutions quickly and offer insights into the optimal infrastructure design depending on the discretization of yard areas, number of trains, and other parameters.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"35 ","pages":"Article 100524"},"PeriodicalIF":2.6,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189800","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

Utilizing phase-type distributions for queueing-based railway junction performance determination 基于相位型分布的排队铁路枢纽性能确定

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-05-26 DOI: 10.1016/j.jrtpm.2025.100523

Tamme Emunds, Nils Nießen

引用次数: 0

Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum–classical approach 用量子-经典混合方法求解异构城市铁路网重调度问题

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-05-17 DOI: 10.1016/j.jrtpm.2025.100521

Mátyás Koniorczyk , Krzysztof Krawiec , Ludmila Botelho , Nikola Bešinović , Krzysztof Domino

引用次数: 0

Optimizing and synchronizing timetables in an urban subway network considering trains’ speed profiles and skip-stop strategy 考虑列车速度分布和跳站策略的城市地铁网络时刻表优化与同步

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-05-05 DOI: 10.1016/j.jrtpm.2025.100520

Alireza Eslami , Yousef Shafahi , Shayan Bafandkar

引用次数: 0

Weekly crew scheduling for freight rail engineers: A network approach 货运铁路工程师每周班组调度：网络方法

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-04-02 DOI: 10.1016/j.jrtpm.2025.100519

Jinhua Lyu, Jonathan F. Bard

{"title":"Weekly crew scheduling for freight rail engineers: A network approach","authors":"Jinhua Lyu, Jonathan F. Bard","doi":"10.1016/j.jrtpm.2025.100519","DOIUrl":"10.1016/j.jrtpm.2025.100519","url":null,"abstract":"<div><div>Freight rail engineers and conductors have long faced unpredictable and inflexible work schedules, leading to on-the-job fatigue, compromised safety, and poor work-life balance. This paper aims to construct robust weekly schedules for these crew members to alleviate the pressures associated with irregular and unpredictable work hours. The scheduling problem is formulated as a multi-commodity network flow problem on a directed time-space graph. Both two-city and three-city districts are addressed. To account for the variability in travel times, a set of scenarios is defined in which demand is increased by up to 20% to build slack into the schedules. The results are validated using Monte Carlo simulation where 100 random weekly instances are generated for each city pair and key performance metrics assessed. Major findings show that (i) optimal weekly schedules can be constructed in minutes for engineers in crew districts with two cities, and in several hours for engineers in crew districts with three cities, (ii) different percentages of demand increase significantly affect the degree of robustness, and (iii) forming crew districts with three cities rather than two gives better results in terms of required number of engineers and trip coverage rates.</div></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"34 ","pages":"Article 100519"},"PeriodicalIF":2.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759000","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

Statistical analysis of geoinformation data for increasing railway safety 提高铁路安全的地理信息数据统计分析

IF 2.6

Journal of Rail Transport Planning & Management Pub Date : 2025-03-20 DOI: 10.1016/j.jrtpm.2025.100517

Katarzyna Gawlak , Jarosław Konieczny , Krzysztof Domino , Jarosław Adam Miszczak

引用次数: 0