Planning and Operations for Modern Railway Transport Systems

A special issue of Vehicles (ISSN 2624-8921).

Deadline for manuscript submissions: 26 June 2026 | Viewed by 717

Special Issue Editors


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Guest Editor
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Interests: operation optimization for railway transport systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
Interests: rail transit organization optimization; intelligent scheduling command of rail transit; transportation system simulation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China
Interests: transportation planning; transportation scheduling; passenger flow organization; crew scheduling

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit your cutting-edge research to this Special Issue of the journal Vehicles, themed “Planning and Operations for Modern Railway Transport Systems”.

Efficient planning and operations are fundamental to delivering high-quality railway services for both passenger and freight transport. The planning phase covers strategic network and line planning as well as tactical service scheduling, while operations focus on real-time train rescheduling, control, and disruption management. The evolution of modern rail transport systems intensifies the need to develop advanced methodologies, technologies, and tools, aimed at improving resource efficiency, enhancing service quality, and strengthening system resilience under both nominal and disrupted conditions.

Research in this field is inherently multidisciplinary, integrating principles and techniques from operations research, computer science, data science, and railway engineering. Methodologies such as optimization model and algorithms, matheuristics, simulation-based digital twins, and data-driven machine learning and AI are proving critical. These approaches not only provide deeper insights into complex system behaviors, but are also becoming integral to the design and management of railway systems, thereby accelerating the modernization of service provision. Complementing these computational advances, empirical data analysis and real-world case studies remain essential, serving as a vital bridge between theoretical models and their practical implementation.

This Special Issue aims to cover all aspects related to the planning and operational management of railway systems. This includes, but is not limited to, network and line planning, timetable development, rolling stock and crew scheduling, real-time dispatching, and disruption management. Theoretical, empirical, and computational investigations (or a combination thereof) are welcome. We also encourage the submission of interdisciplinary research addressing challenges across the entire planning hierarchy, from long-term strategic network design to the dynamic control of daily train operations.

Dr. Yao Chen
Dr. Yongxiang Zhang
Dr. Jungang Shi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vehicles is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • network, line and route planning
  • resource scheduling
  • timetable optimization
  • disruption management
  • real-time train operations
  • resilience in railway transport

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Published Papers (2 papers)

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Research

20 pages, 2765 KB  
Article
Analysis of Pantograph–Catenary Current Collection Performance Under Speed-Upgrading Operating Conditions
by Liqian Wang, Yantao Liang, Dehai Zhang, Xufan Wang, Tong Xing and Yang Song
Vehicles 2026, 8(5), 95; https://doi.org/10.3390/vehicles8050095 - 22 Apr 2026
Abstract
To support the safe operation and technological promotion of existing line speed-up projects, this paper presents an assessment method for pantograph–catenary contact performance under the 200 km/h speed conditions, using the Guangzhou–Shenzhen Lines I and II speed-up projects as representative case studies. Based [...] Read more.
To support the safe operation and technological promotion of existing line speed-up projects, this paper presents an assessment method for pantograph–catenary contact performance under the 200 km/h speed conditions, using the Guangzhou–Shenzhen Lines I and II speed-up projects as representative case studies. Based on the ANCF method, a refined pantograph–catenary coupling dynamic model is established to accurately characterize the large deformation and geometric nonlinear behavior of the catenary system. Model validation is achieved using actual measurement data from the CR400AF train. Based on this model, systematic simulation analyses were conducted to evaluate the current collection performance of four mainstream train models—CR300AF, CR400BF, CRH380A, and CRH380B—under both single-unit and double-unit operation conditions. Results indicate that dynamic contact force metrics for pantograph–catenary interactions meet all limit requirements specified in the Technical Specifications for Dynamic Acceptance of High-Speed Railway Projects under all operating conditions. This demonstrates that the pantograph–catenary system on the analyzed Guangzhou–Shenzhen Line exhibits excellent dynamic stability and safety under the targeted speed-up scheme, providing simulation-based justification for implementing the speed enhancement project. Full article
(This article belongs to the Special Issue Planning and Operations for Modern Railway Transport Systems)
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24 pages, 2898 KB  
Article
Coordinated Optimization of Passenger Flow Control and Train Skip-Stop Strategy in Metro Systems Incorporating Reservation
by Xiaoya Gao, Jiaxin Li and Xujie Feng
Vehicles 2026, 8(3), 62; https://doi.org/10.3390/vehicles8030062 - 16 Mar 2026
Cited by 1 | Viewed by 390
Abstract
Peak-hour congestion in metro systems poses significant challenges to operational reliability and passenger experience. This study investigates a coordinated operational strategy that integrates passenger flow control, reservation-based entry, and skip-stop train operations to alleviate congestion in high-density metro corridors. A mathematical optimization model [...] Read more.
Peak-hour congestion in metro systems poses significant challenges to operational reliability and passenger experience. This study investigates a coordinated operational strategy that integrates passenger flow control, reservation-based entry, and skip-stop train operations to alleviate congestion in high-density metro corridors. A mathematical optimization model is formulated to jointly capture passenger demand, station crowding, and train capacity constraints, and is solved using an adaptive large neighborhood search algorithm. Numerical experiments based on a real-world metro line demonstrate that the proposed framework can effectively reduce passenger waiting time and improve the balance of passenger distribution across stations under peak-hour conditions. The results indicate that coordinating multiple operational measures yields better performance than applying individual strategies in isolation, highlighting the practical value of the proposed approach for congested metro systems. Full article
(This article belongs to the Special Issue Planning and Operations for Modern Railway Transport Systems)
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