Journal of Rail Transport Planning & Management最新文献_第6页

Multiobjective optimization of railway cold-chain transportation route based on dynamic train information 基于列车动态信息的铁路冷链运输路线多目标优化

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100381

Shouchen Liu , Cheng Zhang

{"title":"Multiobjective optimization of railway cold-chain transportation route based on dynamic train information","authors":"Shouchen Liu , Cheng Zhang","doi":"10.1016/j.jrtpm.2023.100381","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2023.100381","url":null,"abstract":"<div><p><span>Freight train is selected to pick up and hang refrigerated containers<span> according to railway freight train diagram in China. A multiobjective optimization model of railway cold-chain transportation route is established with total, time, and reliability costs as objective functions on the basis of dynamic train information. Different weights of three objective functions are obtained and </span></span>weighted sum method<span><span><span> is used to transform the multiobjective problem into a single-objective problem according to different transport demands of railway cold-chain transportation participants. An example of k short-circuit </span>optimization algorithm based on </span>genetic algorithm<span><span> (GA) is designed to prove the feasibility and effectiveness of the proposed model. The empirical analysis showed that different transport times can be obtained by adjusting weights of various optimization objectives in the model to meet diverse needs of railway cold-chain transport participants and selecting differentiated shifts and transfer stations on the same route to provide a variety of transportation time limit options. Results of this study can provide guidance to </span>decision makers in choosing railway transportation schemes.</span></span></p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"26 ","pages":"Article 100381"},"PeriodicalIF":3.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49752545","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

Pedestrian small group behaviour and evacuation dynamics on metro station platform 地铁站台行人群体行为与疏散动态

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100387

Qi Zhang, Jing Qu, Yanzhe Han

{"title":"Pedestrian small group behaviour and evacuation dynamics on metro station platform","authors":"Qi Zhang, Jing Qu, Yanzhe Han","doi":"10.1016/j.jrtpm.2023.100387","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2023.100387","url":null,"abstract":"<div><p>Crowd at metro stations is usually a mixture of individuals and small groups of families or friends. However, limited research has focused on small group behaviours for metro safe evacuation evaluation and planning. In this study, a field observation at metro stations and a questionnaire survey were conducted to reveal the small group behaviour characteristics with different decision patterns and compactness. A cellular automaton (CA) based simulation model was proposed to reproduce small group behaviours of independent or joint decision pattern, with loose or close contact, reflecting the real-time trade-off between individual efficiency and group coherence. Impacts of small group behaviours on crowd dynamics were investigated by simulation experiments under diverse scenarios. Simulation experiments revealed that joint decision pattern and close contact of small groups were more likely to lead to longer evacuation time, lower average speed and stronger interference on the individuals. Deviations of estimated evacuation time due to small group behaviours were investigated and found to be common and widespread with different group decision pattern and compactness, congestion levels, proportions of groups in the crowd and exit layouts.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"26 ","pages":"Article 100387"},"PeriodicalIF":3.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49727477","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

Fault text classification of on-board equipment in high-speed railway based on labeled-Doc2vec and BiGRU 基于labelled - doc2vec和BiGRU的高速铁路车载设备故障文本分类

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100372

Wei Wei , Xiaoqiang Zhao

{"title":"Fault text classification of on-board equipment in high-speed railway based on labeled-Doc2vec and BiGRU","authors":"Wei Wei , Xiaoqiang Zhao","doi":"10.1016/j.jrtpm.2023.100372","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2023.100372","url":null,"abstract":"<div><p><span>Fault text classification is a prerequisite task for railway engineers based historical train operation data to diagnose vehicle on-board equipment (VOBE) faults and formulate maintenance strategies. Aiming at the low efficiency and accuracy of manual fault text classification, based on Bidirectional Gated </span>Recurrent<span> Unit (BiGRU) and improved attention mechanism<span><span> (IAtt), an intelligent VOBE fault text classification method is proposed in this paper. Combining the characteristics of the VOBE faults text, also called application event log (AElog) files, the Labeled-Doc2vec is used to generate sentence embedding to realize the vectorized representation of the fault texts, then input sentence embedding into BiGRU to extract the fault text features as the improved attention mechanism layer. Finally, the high-dimensional fault text features outputted by hidden are input into Softmax to complete the fault text classification. The experimental results show that the proposed method can analyze the semantics of fault text according to the train running state before and after the fault time, that is, it can realize text classification by combining context. Compared with other methods, the method in this paper obtains the optimal accuracy, precision, recall and F1-score, which shows that the proposed method can be applied to fault text classification of VOBE, effectively reduces the </span>labor cost of fault text classification in practice, and improves the efficiency of fault text classification of VOBE.</span></span></p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"26 ","pages":"Article 100372"},"PeriodicalIF":3.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49752603","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: 1

The cost differential for an optimal train journey on level track 水平轨道上最优列车行程的成本差异

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100393

Phil Howlett, Peter Pudney

引用次数: 0

Solving the train dispatching problem via deep reinforcement learning 利用深度强化学习解决列车调度问题

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100394

Valerio Agasucci , Giorgio Grani , Leonardo Lamorgese

{"title":"Solving the train dispatching problem via deep reinforcement learning","authors":"Valerio Agasucci , Giorgio Grani , Leonardo Lamorgese","doi":"10.1016/j.jrtpm.2023.100394","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2023.100394","url":null,"abstract":"<div><p>Every day, railways experience disturbances and disruptions, both on the network and the fleet side, that affect the stability of rail traffic. Induced delays propagate through the network, which leads to a mismatch in demand and offer for goods and passengers, and, in turn, to a loss in service quality. In these cases, it is the duty of human traffic controllers, the so-called dispatchers, to do their best to minimize the impact on traffic. However, dispatchers inevitably have a limited depth of perception of the knock-on effect of their decisions, particularly how they affect areas of the network that are outside their direct control. In recent years, much work in Decision Science has been devoted to developing methods to solve the problem automatically and support the dispatchers in this challenging task. This paper investigates Machine Learning-based methods for tackling this problem, proposing two different Deep Q-Learning methods(Decentralized and Centralized). Numerical results show the superiority of these techniques respect to the classical linear Q-Learning based on matrices. Moreover the Centralized approach is compared with a MILP formulation showing interesting results. The experiments are inspired on data provided by a U.S. class 1 railroad.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"26 ","pages":"Article 100394"},"PeriodicalIF":3.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49752658","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: 1

Onboard train speed optimization for energy saving using the prediction of block clearing times under real-time rescheduling 实时重调度下基于路段清理时间预测的列车速度节能优化

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100392

Alexandra Liebhold , Shota Miyoshi , Nils Nießen , Takafumi Koseki

{"title":"Onboard train speed optimization for energy saving using the prediction of block clearing times under real-time rescheduling","authors":"Alexandra Liebhold , Shota Miyoshi , Nils Nießen , Takafumi Koseki","doi":"10.1016/j.jrtpm.2023.100392","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2023.100392","url":null,"abstract":"<div><p><span>Energy-saving driving is crucial during railway operation, especially in case of disturbances that require timetable rescheduling. This paper presents a method for the dynamic onboard tuning of energy-efficient speed profiles after the real-time train rescheduling process under a fixed block signaling system for mixed traffic. Similar to the idea of connected driver advisory systems, trains constantly communicate with a central </span>traffic management system<span>. After the rescheduling process, this system provides recommended time corridors for the passing of block signals that depend on the predicted clearing times of the block sections. These recommendations are then used for individual energy optimization of single train runs by avoiding unnecessary braking in front of block signals and maximizing cruising distances. The method is tested and evaluated on a representative line segment of the ELVA, the Railway Signaling Lab at RWTH Aachen University under realistic conditions. Energy consumptions are compared for different prediction time horizons at which the recommendations are available to the train's onboard system. In the examined test case of two trains, the energy-consumption could be decreased by up to 53% compared to operation without any rescheduling system. Thus, the proposed method is able to reduce energy consumption significantly.</span></p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"26 ","pages":"Article 100392"},"PeriodicalIF":3.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49752677","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: 2

Statistical learning for train delays and influence of winter climate and atmospheric icing 列车延误及冬季气候和大气结冰影响的统计学习

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100388

Jianfeng Wang , Roberto Mantas-Nakhai , Jun Yu

{"title":"Statistical learning for train delays and influence of winter climate and atmospheric icing","authors":"Jianfeng Wang , Roberto Mantas-Nakhai , Jun Yu","doi":"10.1016/j.jrtpm.2023.100388","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2023.100388","url":null,"abstract":"<div><p>This study investigated the climate effect under consecutive winters on the arrival delay of high-speed passenger trains. Inhomogeneous Markov chain model and stratified Cox model were adopted to account for the time-varying risks of train delays. The inhomogeneous Markov chain modelling used covariates weather variables, train operational direction, and findings from the primary delay analysis through stratified Cox model. The results showed that temperature, snow depth, ice/snow precipitation, and train operational direction, significantly impacted the arrival delay. Further, by partitioning the train line into three segments as per transition intensity, the model identified that the middle segment had the highest chance of a transfer from punctuality to delay, and the last segment had the lowest probability of recovering from delayed state. The performance of the fitted inhomogeneous Markov chain model was evaluated by the walk-forward validation method, which indicated that approximately 9% of trains may be misclassified as having arrival delays by the fitted model at a measuring point on the train line. With the model performance, the fitted model could be beneficial for both travellers to plan their trips reasonably and railway operators to design more efficient and wiser train schedules as per weather condition.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"26 ","pages":"Article 100388"},"PeriodicalIF":3.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49765889","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: 1

Inequity averse optimization of railway traffic management considering passenger route choice and Gini Coefficient 考虑客运路线选择和基尼系数的铁路交通管理不公平优化

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100395

Xiaojie Luan , Xiao Sun , Francesco Corman , Lingyun Meng

{"title":"Inequity averse optimization of railway traffic management considering passenger route choice and Gini Coefficient","authors":"Xiaojie Luan , Xiao Sun , Francesco Corman , Lingyun Meng","doi":"10.1016/j.jrtpm.2023.100395","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2023.100395","url":null,"abstract":"<div><p>Traffic management is crucial for improving the punctuality and reliability of train operations, enabling train operating companies (TOCs) to maintain their competitiveness and further increases the share and profits. A common goal of the train rescheduling problem is to minimize train delays, which fails to examine the results from the perspective of passengers. Moreover, focusing only on the punctuality performance overlooks how the delay is distributed among entities (i.e., trains, passengers, and train operating companies).</p><p>We study the train rescheduling problem with the inclusion of passenger choices and the equity concerns. A mixed-integer linear programming (MILP) model is proposed to find the optimal train schedules and the best route for passengers at the same time, with respect to the demanded equity level. Passengers choose a sequence of train services to complete their trip with the least amount of costs (i.e., delays). To evaluate the equity performance of the system, we define equity by means of Gini Coefficient and Maximal Deviation, included in the MILP model as constraints.</p><p>Experiments are conducted to explore the impacts of the objective change, i.e., from reducing train delays to reducing passenger delays, and to compare the system performance of using the two equity measures in terms of punctuality and equity. According to the results, the average passenger delay decreases by 34% when minimizing passenger delays, compared with that of minimizing train delays. Moreover, the Gini Coefficient yields less cost of equity (i.e., less increase of delays), compared to that of the Maximal Deviation.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"26 ","pages":"Article 100395"},"PeriodicalIF":3.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49752170","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 freight wagon fleet size optimization: A real-world application 铁路货运车队规模优化:一个实际应用

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100373

Miloš Milenković , Nebojša Bojović , Dmitry Abramin

引用次数: 0

Optimal resource rescheduling in classification yards considering flexible skill patterns 考虑灵活技能模式的船级社资源调度优化

IF 3.7

Journal of Rail Transport Planning & Management Pub Date : 2023-06-01 DOI: 10.1016/j.jrtpm.2023.100390

Henning Preis , Tobias Pollehn , Moritz Ruf

{"title":"Optimal resource rescheduling in classification yards considering flexible skill patterns","authors":"Henning Preis , Tobias Pollehn , Moritz Ruf","doi":"10.1016/j.jrtpm.2023.100390","DOIUrl":"https://doi.org/10.1016/j.jrtpm.2023.100390","url":null,"abstract":"<div><p>Classification yards represent network nodes in the single-wagonload transport system. The processes are complex due to a high number of involved resources and restrictive dependencies. Decisions on job sequencing and resource allocation have a major impact on outbound delays and thus on the quality of service in the network. Due to permanent updates of arrival times and resource availabilities, a constant revision of decisions is necessary. In many cases, considering multiple qualifications of the personnel is crucial for efficient operations. This paper presents an approach for the rescheduling of processes and the assignment of resources in classification yards, which allows to determine best working schedules based on current data such that the cumulative outbound delay of all trains is minimized. Therefore, the paper presents a mixed integer program that includes all essential components (tracks, locomotives and personnel with individual skill patterns). For the real-time capable solution of the optimization problem, four different heuristic approaches based on priority rules are presented. The performance of these approaches is evaluated by a gap analysis with respect to the solutions found by CPLEX. For this purpose, real example data of an operation day of a large classification yard in Germany are used.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"26 ","pages":"Article 100390"},"PeriodicalIF":3.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49759715","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