Richard Martin Lusby

Richard Martin Lusby

Danmarks Tekniske Universitet

H-index: 23

Europe-Denmark

About Richard Martin Lusby

Richard Martin Lusby, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Railway Optimization, Public Transport, Decomposition Methods.

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

Integrating train service route design with passenger flow allocation for an urban rail transit line

A branch-and-price algorithm for integrating urban rail crew scheduling and rostering problems

On the efficiency of energy markets with non-merchant storage

Solving unconstrained binary polynomial programs with limited reach: Application to low autocorrelation binary sequences

Robust Rolling Stock Rescheduling

Virtual Linking Bids for Market Clearing with Non-Merchant Storage

An ADMM-based dual decomposition mechanism for integrating crew scheduling and rostering in an urban rail transit line

A simulation framework of procurement operations in the container logistics industry

Richard Martin Lusby Information

University

Position

Associate Professor Management Science DTU Management Engineering of

Citations(all)

2049

Citations(since 2020)

1253

Cited By

1217

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

32

i10Index(since 2020)

26

Email

University Profile Page

Danmarks Tekniske Universitet

Google Scholar

View Google Scholar Profile

Richard Martin Lusby Skills & Research Interests

Railway Optimization

Public Transport

Decomposition Methods

Top articles of Richard Martin Lusby

Title

Journal

Author(s)

Publication Date

Integrating train service route design with passenger flow allocation for an urban rail transit line

European Journal of Operational Research

Tao Feng

Richard M Lusby

Yongxiang Zhang

Qiyuan Peng

2024/2/16

A branch-and-price algorithm for integrating urban rail crew scheduling and rostering problems

Transportation Research Part B: Methodological

Tao Feng

Richard M. Lusby

Yongxiang Zhang

Siyu Tao

Bojian Zhang

...

2024/4/6

On the efficiency of energy markets with non-merchant storage

Energy Systems

Linde Frölke

Eléa Prat

Pierre Pinson

Richard M Lusby

Jalal Kazempour

2024

Solving unconstrained binary polynomial programs with limited reach: Application to low autocorrelation binary sequences

Computers & Operations Research

Jens Vinther Clausen

Yves Crama

Richard Lusby

Elisabeth Rodríguez-Heck

Stefan Ropke

2024/2/22

Robust Rolling Stock Rescheduling

Available at SSRN 4622539

Joris Wagenaar

Evelien van der Hurk

Richard Martin Lusby

Marie Schmidt

2023/11/1

Virtual Linking Bids for Market Clearing with Non-Merchant Storage

arXiv preprint arXiv:2309.14787

Eléa Prat

Jonas Bodulv Broge

Richard Lusby

2023/9/26

An ADMM-based dual decomposition mechanism for integrating crew scheduling and rostering in an urban rail transit line

Transportation Research Part C: Emerging Technologies

Tao Feng

Richard M Lusby

Yongxiang Zhang

Qiyuan Peng

Pan Shang

...

2023/4/1

A simulation framework of procurement operations in the container logistics industry

arXiv preprint arXiv:2303.12765

George Vassos

Klaus K Holst

Pierre Pinson

Richard M Lusby

2023/3/22

A Robust Rolling Stock Rescheduling Approach

JC Wagenaar

Evelien van der Hurk

Richard Martin Lusby

M Schmidt

2022

Benders Decomposition for Bi-objective Linear Programs

arXiv preprint arXiv:2212.08178

Ali Akbar Sohrabi Yousefkhan

Richard Lusby

Andrea Raith

2022/12/15

Mathematical Programming with Julia-New open-source book

Richard Martin Lusby

Thomas Jacob Riis Stidsen

2022

A column generation approach for the driver scheduling problem with staff cars

Public Transport

Shyam SG Perumal

Jesper Larsen

Richard M Lusby

Morten Riis

Tue RL Christensen

2022/10

Comparison of Benders decomposition algorithms to solve bi-objective linear programmes

Ali Sohrabi

Andrea Raith

Richard Martin Lusby

2022

Electric bus planning & scheduling: A review of related problems and methodologies

Shyam SG Perumal

Richard M Lusby

Jesper Larsen

2022/9/1

Benders algorithm for bi-objective two-stage stochastic optimization problems with multiple scenarios

Ali Sohrabi

Andrea Raith

Richard Martin Lusby

2022

Consistency Cuts for Dantzig-Wolfe Reformulations

Operations Research

Jens Vinther Clausen

Richard Lusby

Stefan Ropke

2022/9

Exact and heuristic methods for the Split Delivery Vehicle Routing Problem

Mette Gamst

Richard Martin Lusby

Stefan Røpke

2022

A heuristic approach to integrate train timetabling, platforming, and railway network maintenance scheduling decisions

Transportation Research Part B: Methodological

Qin Zhang

Richard Martin Lusby

Pan Shang

Xiaoning Zhu

2022/4/1

Solution approaches for integrated vehicle and crew scheduling with electric buses

Computers & Operations Research

Shyam SG Perumal

Twan Dollevoet

Dennis Huisman

Richard M Lusby

Jesper Larsen

...

2021/8/1

Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search

European Journal of Operational Research

Renata Turkeš

Kenneth Sörensen

Lars Magnus Hvattum

2021/7/16

See List of Professors in Richard Martin Lusby University(Danmarks Tekniske Universitet)

Co-Authors

H-index: 57
David Pisinger

David Pisinger

Danmarks Tekniske Universitet

H-index: 34
Jesper Larsen

Jesper Larsen

Danmarks Tekniske Universitet

H-index: 33
Stefan Ropke

Stefan Ropke

Danmarks Tekniske Universitet

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