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A data-driven approach for quantifying the resilience of railway networks

Knoester, Max J. (author), Bešinović, Nikola (author), Afghari, A.P. (author), Goverde, R.M.P. (author), van Egmond, Jochen (author)

Disruptions occur frequently in railway networks, requiring timetable adjustments, while causing serious delays and cancellations. However, little is known about the performance dynamics during disruptions nor the extent to which the resilience curve applies in practice. This paper presents a data-driven quantification approach for an ex-post...

journal article 2023

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A Literature Review on Train Motion Model Calibration

Cunillera, A. (author), Bešinović, Nikola (author), Lentink, Ramon M. (author), van Oort, N. (author), Goverde, R.M.P. (author)

The dynamics of a moving train are usually described by means of a motion model based on Newton's second law. This model uses as input track geometry data and train characteristics like mass, the parameters that model the running resistance, the maximum tractive effort and power, and the brake rates to be applied. It can reproduce and predict...

journal article 2023

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Promising solutions for railway operations to cope with future challenges — Tackling COVID and beyond

Wang, Z. (author), Aoun, J. (author), Szymula, Christopher (author), Bešinović, Nikola (author)

The COVID-19 pandemic has imposed a dramatic effect on the mobility habits of both passengers and freight in the rail sector. Since the relaxation of COVID-19 restrictions worldwide, rail transport has been revitalised gradually. However, the new normal emerges with unprecedented issues, such as changed travel behaviour, lost profits, and a...

journal article 2023

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Improving the Utilization of Regenerative Energy and Shaving Power Peaks by Railway Timetable Adjustment

Wang, P. (author), Bešinović, Nikola (author), Goverde, R.M.P. (author), Corman, F. (author)

Employing regenerative braking in trains contributes to reducing the amount of energy used, especially when applied to commuter trains and to those used on very dense suburban networks. This paper presents a method to fine-tune the periodic timetable to improve the utilization of regenerative energy and to shave power peaks while maintaining...

journal article 2022

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Timetable compression using max-plus automata applied to large railway networks

Uyttendaele, Jolien (author), Van Hoeck, Inneke (author), Bešinović, Nikola (author), Vansteenwegen, Pieter (author)

Demand for railway transportation keeps on growing. Therefore, a thorough understanding of the capacity of railway networks is crucial. In this paper, the well-known compression method based on max-plus algebra is extended. A number of challenges are addressed to apply this compression method to large and complex networks, such as the one...

journal article 2022

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Increasing the effectiveness of the capacity usage at rolling stock service locations

van Hövell, Madeleine E.M.A. (author), Goverde, R.M.P. (author), Bešinović, Nikola (author), de Weerdt, M.M. (author)

Trains consist of one or more railway vehicles called rolling stock, which need interior and exterior cleaning and small technical checks on a daily basis. These services are executed at service locations (SLs). Scheduling rolling stock servicing tasks during an operational day is important to guarantee the fulfilment of servicing deadlines....

journal article 2022

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Real-time train motion parameter estimation using an Unscented Kalman Filter

Cunillera, A. (author), Bešinović, Nikola (author), van Oort, N. (author), Goverde, R.M.P. (author)

Train movement dynamics are usually modelled by means of Newton's second law. The resulting dynamic equation can be very precise if the parameters that it depends on are determined accurately. However, these parameters may vary in time and show wide variations, making the calibration task nontrivial and jeopardizing the performance of a broad...

journal article 2022

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Optimal network electrification plan for operation of battery-electric multiple unit regional trains

Kapetanović, M. (author), Bešinović, Nikola (author), Nunez, Alfredo (author), van Oort, N. (author), Goverde, R.M.P. (author)

The Netherlands have one of the highest rail electrification rates in the EU with over 75% of the railway network electrified (European Comission, 2018), offering environment-friendly trains operation. However, in order to achieve carbon neutral railway sector by 2050, significant investments are required to further improve environmental...

abstract 2022

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A literature review of Artificial Intelligence applications in railway systems

Tang, Ruifan (author), De Donato, Lorenzo (author), Bešinović, Nikola (author), Flammini, Francesco (author), Goverde, R.M.P. (author), Lin, Zhiyuan (author), Liu, Ronghui (author), Tang, Tianli (author), Vittorini, Valeria (author), Wang, Z. (author)

Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a large number of domains, including railways. In this paper, we present a systematic literature review of the current state-of-the-art of AI in railway transport. In particular, we analysed and discussed papers from a holistic railway perspective,...

review 2022

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Resilience assessment of railway networks: Combining infrastructure restoration and transport management

Bešinović, Nikola (author), Nassar, R. (author), Szymula, Christopher (author)

During railways operations, unplanned events might occur which can result in rail traffic being heavily impacted. The paper proposes a passenger-centred resilience assessment for disruption scenarios which consist of multiple simultaneous disruptions. It combines train traffic operations, passenger flows and network restoration. To evaluate...

journal article 2022

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Train motion model calibration: Research agenda and practical recommendations

Cunillera, A. (author), Bešinović, Nikola (author), Lentink, Ramon (author), van Oort, N. (author), Goverde, R.M.P. (author)

An accurate train motion model is a key component of a wide spectrum of railway applications, from timetabling algorithms to Automatic Train Operation systems. Therefore, model calibration has become crucial in the railway industry, although this topic has not received the attention and recognition in academia that its practical relevance...

conference paper 2022

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A Matheuristic for the Integrated Disruption Management of Traffic, Passengers and Stations in Urban Railway Lines

Bešinović, Nikola (author), Wang, Yihui (author), Zhu, Songwei (author), Quaglietta, E. (author), Tang, Tao (author), Goverde, R.M.P. (author)

In big cities, the metro lines usually face great pressure caused by huge passengers demand, especially during peak hours. When disruptions occur, passengers accumulate quickly at stations. It is of great importance for dispatchers to take passenger flow control into consideration for the traffic management to ensure passengers' safety and to...

journal article 2021

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Estimating impacts of covid19 on transport capacity in railway networks

Bešinović, Nikola (author), Szymula, Christopher (author)

Due to the covid19 crisis, public transport (PT) systems are facing new challenges. Regarding restrictive measures such as physical distancing and the successive returning of passengers after the “intelligent lockdown”, significant lack of transport capacity can be expected. In this paper, the transport capacity of a PT network is assessed,...

journal article 2021

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The Maintenance Location Choice Problem for railway rolling stock

Zomer, Jordi (author), Bešinović, Nikola (author), de Weerdt, M.M. (author), Goverde, R.M.P. (author)

Due to increasing railway use, the capacity at railway yards and maintenance locations is becoming limiting to accommodate existing rolling stock. To reduce capacity issues at maintenance locations during nighttime, railway undertakings consider performing more daytime maintenance, but the choice at which locations personnel needs to be...

journal article 2021

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Scheduling multimodal alternative services for managing infrastructure maintenance possessions in railway networks

Trepat Borecka, Jacob (author), Bešinović, Nikola (author)

Highly utilized railway networks require regular infrastructure maintenance. Different track sections often need to be closed for entire days to carry out engineering works, which makes the regular timetables no longer feasible and thus adjusted railway services and temporary alternative services need to be planned. We introduce the...

journal article 2021

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A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications

Pappaterra, Mauro José (author), Flammini, Francesco (author), Vittorini, Valeria (author), Bešinović, Nikola (author)

The aim of this paper is to review existing publicly available and open artificial intelligence (AI) oriented datasets in different domains and subdomains of the railway sector. The contribution of this paper is an overview of AI-oriented railway data published under Creative Commons (CC) or any other copyright type that entails public...

review 2021

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Adjusting freight train paths to infrastructure possessions

Bešinović, Nikola (author), Widarno, B. (author), Goverde, R.M.P. (author)

This paper tackles railway timetabling with infrastructure work possessions. It introduces the integrated Passenger and Freight Train Timetable Adjustment Problem (PF-TTAP) which handles both passenger as well as freight trains. To deal with possessions, passenger trains are typically retimed, reordered or partially cancelled, while for freight...

conference paper 2020

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Resilience in railway transport systems: a literature review and research agenda

Bešinović, Nikola (author)

Critical infrastructure networks, such as transport and power networks, are essential for the functioning of a society and economy. The rising transport demand increases the congestion in railway networks and thus they become more interdependent and more complex to operate. Also, an increasing number of disruptions due to system failures as...

journal article 2020

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Passenger-centered vulnerability assessment of railway networks

Szymula, Christopher (author), Bešinović, Nikola (author)

The performance and behaviour of critical infrastructure in case of disruptions is an important topic and we are still lacking of insights. Due to disruptions, infrastructure becomes unavailable and may force the trains and passengers to adapt. In this paper, we introduce a problem of railway network vulnerability from the perspective of...

journal article 2020

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Stable and robust train routing in station areas with balanced infrastructure capacity occupation

Bešinović, Nikola (author), Goverde, R.M.P. (author)

Routing trains through busy railway station layouts is an important part of the timetabling process. For each train, a feasible route has to be determined to provide reliable operations, given the arrival and departure times at stations. In this paper, we propose a model for stable and robust train routing with the goal to minimize capacity...

journal article 2019