Nikola Bešinović

Nikola Bešinović

Technische Universiteit Delft

H-index: 16

Europe-Netherlands

About Nikola Bešinović

Nikola Bešinović, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Transportation, Railway, Operations research, Scheduling, Resilience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quantifying periodic railway network capacity using petri nets and macroscopic fundamental diagram

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

The Missing Piece to the Puzzle: Advancing Train Planning for a Digital Great British Railway

The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach

Real-time mitigation of power peaks in railway networks using train control measures

Train Rescheduling for a Metro Line Under Train Rescue Operation

Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach

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

Nikola Bešinović Information

University

Position

___

Citations(all)

1135

Citations(since 2020)

945

Cited By

381

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

24

i10Index(since 2020)

21

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Nikola Bešinović Skills & Research Interests

Transportation

Railway

Operations research

Scheduling

Resilience

Top articles of Nikola Bešinović

Title

Journal

Author(s)

Publication Date

Quantifying periodic railway network capacity using petri nets and macroscopic fundamental diagram

Transportation Research Part C: Emerging Technologies

Christopher Szymula

Nikola Bešinović

Karl Nachtigall

2024/1/1

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

Transportation Research Part A: Policy and Practice

Max J Knoester

Nikola Bešinović

Amir Pooyan Afghari

Rob MP Goverde

Jochen van Egmond

2024/1/1

The Missing Piece to the Puzzle: Advancing Train Planning for a Digital Great British Railway

Nadia Hoodbhoy

Gemma Nicholson

Heather Steele

Nicola Furness

Timothy James

...

2024/4/18

The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach

arXiv preprint arXiv:2401.12073

Nikola Bešinović

Ricardo García-Ródenas

María Luz López-García

Julio Alberto López-Gómez

José Ángel Martín-Baos

2024/1/22

Real-time mitigation of power peaks in railway networks using train control measures

Jacob Trepat Borecka

Daniel Regueiro Sánchez

Michael Nold

Francesco Corman

Nikola Bešinović

2023

Train Rescheduling for a Metro Line Under Train Rescue Operation

Yicheng Zhou

Yihui Wang

Nikola Bešinović

Bohan Li

2023/9/24

Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach

arXiv preprint arXiv:2309.06763

Mátyás Koniorczyk

Krzysztof Krawiec

Ludmila Botelho

Nikola Bešinović

Krzysztof Domino

2023/9

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

Top

Jolien Uyttendaele

Inneke Van Hoeck

Nikola Besinovic

Pieter Vansteenwegen

2023/7

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

Journal of Rail Transport Planning & Management

Ziyulong Wang

Joelle Aoun

Christopher Szymula

Nikola Bešinović

2023/12/1

Computational evaluation of geographic decomposition choices in railway traffic planning

Jacob Trepat Borecka

Florin Leutwiler

Francesco Corman

Nikola Bešinović

2023/5/11

Artificial intelligence in railway traffic planning and management Taxonomy, a systematic review of the state-of-the-art of AI, and transferability analysis

Ruifan Tang

Zhiyuan Lin

Ronghui Liu

Rob MP Goverde

Nikola Beä

2023/10/13

A literature review on train motion model calibration

Alex Cunillera

Nikola Bešinović

Ramon M Lentink

Niels van Oort

Rob MP Goverde

2023/1/18

Artificial intelligence in railways: current applications, challenges, and ongoing research

Lorenzo De Donato

Ruifan Tang

Nikola Bes̆inović

Francesco Flammini

Rob MP Goverde

...

2023/10/13

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

Journal of Rail Transport Planning & Management

Madeleine EMA van Hövell

Rob MP Goverde

Nikola Bešinović

Mathijs M de Weerdt

2022/3/1

Train motion model calibration: research agenda and practical recommendations

Alex Cunillera

Nikola Bešinović

Ramon Lentink

Niels van Oort

Rob MP Goverde

2022/10/8

Improving the utilization of regenerative energy and shaving power peaks by railway timetable adjustment

IEEE Transactions on Intelligent Transportation Systems

Pengling Wang

Nikola Bešinović

Rob MP Goverde

Francesco Corman

2022/2/3

Real-time train motion parameter estimation using an unscented Kalman filter

Transportation Research Part C: Emerging Technologies

Alex Cunillera

Nikola Bešinović

Niels van Oort

Rob MP Goverde

2022/10/1

Journal of Rail Transport Planning & Management

April Kuo

Elise Miller-Hooks

2015

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

Reliability Engineering & System Safety

Nikola Bešinović

Raphael Ferrari Nassar

Christopher Szymula

2022/8/1

Analysing railway network capacity using macroscopic fundamental diagram

Available at SSRN 4103390

Christopher Szymula

Nikola Bešinović

Karl Nachtigall

2022

See List of Professors in Nikola Bešinović University(Technische Universiteit Delft)

Co-Authors

H-index: 96
Paolo Toth

Paolo Toth

Università degli Studi di Bologna

H-index: 54
Leo Kroon

Leo Kroon

Erasmus Universiteit Rotterdam

H-index: 49
Paul Schonfeld

Paul Schonfeld

University of Maryland

H-index: 49
Dusan Teodorovic

Dusan Teodorovic

Univerzitet u Beogradu

H-index: 43
Rob Goverde

Rob Goverde

Technische Universiteit Delft

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