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Time-window based Truck Appointment System with Adaptive Slot management and Real-Time Truck Information: A case study for the loading operations in a Chemical Plant

Skoulas, Vasileios (author)

Long truck queues and congestion around terminals is a common sight, however they come with many negative externalities for all the stakeholders involved. Truck Appointment System (TAS) is the most commonly used system to face these problems, but it still has some drawbacks and limitations. Consequently, in this research an extension of the...

master thesis 2024

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Handling uncertainty in train timetable rescheduling: A review of the literature and future research directions

Zhan, Shuguang (author), Xie, Jiemin (author), Wong, S. C. (author), Zhu, Y. (author), Corman, Francesco (author)

External and internal factors can cause disturbances or disruptions in daily train operations, leading to deviations from official timetables and passenger delays. As a result, efficient train timetable rescheduling (TTR) methods are necessary to restore disrupted train services. Although TTR has been a popular research topic in recent years,...

journal article 2024

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Reinforcement Learning Based Real-time Railway Timetable Scheduling

Zhang, Hengkai (author)

The railway timetable rescheduling problem is a challenging problem in both industry and academia. It is required to calculate a feasible and relatively good timetable within a limited time to reduce the negative impact of disturbances or disruptions. The railway timetable rescheduling problem is typically formulated as a mixed integer linear...

master thesis 2023

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An Approximate Conflict Detection and Resolution Model for Moving-Block Signalling by Enhancing RECIFE-MILP

Versluis, N.D. (author), Pellegrini, Paola (author), Quaglietta, E. (author), Goverde, R.M.P. (author), Rodriguez, Joaquin (author)

Conflict detection and resolution models are being developed to support railway traffic management in taking optimised rescheduling decisions in case of disturbances. Existing models mostly concern fixed-block signalling systems, in which minimum train separation distances are determined based on a preset number of blocks representing worst-case...

abstract 2023

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Real-time railway traffic management under moving-block signalling: A literature review and research agenda

Versluis, N.D. (author), Quaglietta, E. (author), Goverde, R.M.P. (author), Pellegrini, Paola (author), Rodriguez, Joaquin (author)

Railway traffic management is responsible for the detection and resolution of conflicts in case of disturbed operations. To minimise delay propagation, rescheduling decisions are taken by human dispatchers, possibly supported by mathematical models. Existing conflict detection and resolution (CDR) models mostly refer to conventional fixed...

journal article 2023

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Hierarchical Model Predictive Control for on-Line High-Speed Railway Delay Management and Train Control in a Dynamic Operations Environment

Wang, Yihui (author), Zhu, Songwei (author), Li, Shukai (author), Yang, Lixing (author), De Schutter, B.H.K. (author)

In practice, the operation of high-speed trains is often affected by adverse weather conditions or equipment failures, which result in delays and even cancellations of train services. In this article, a novel two-layer hierarchical model predictive control (MPC) model is proposed for on-line high-speed railway delay management and train...

journal article 2022

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An MPC-Based Rescheduling Algorithm for Disruptions and Disturbances in Large-Scale Railway Networks

Cavone, Graziana (author), van den Boom, A.J.J. (author), Blenkers, Lex (author), Dotoli, Mariagrazia (author), Seatzu, Carla (author), De Schutter, B.H.K. (author)

Railways are a well-recognized sustainable transportation mode that helps to satisfy the continuously growing mobility demand. However, the management of railway traffic in large-scale networks is a challenging task, especially when both a major disruption and various disturbances occur simultaneously. We propose an automatic rescheduling...

journal article 2022

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Airline maintenance task rescheduling in a disruptive environment

van Kessel, Paul J. (author), Freeman, Floris C. (author), Santos, Bruno F. (author)

Airline maintenance task scheduling takes place in a disruptive environment. The stochastic arrival of corrective maintenance tasks and changes in both fleet and resource availability require schedules to be continuously adjusted. An optimal schedule ensures that all tasks are executed before their due date in both an efficient (at minimum...

journal article 2022

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A Predictive–Proactive Approach for Slot Management of a Loading Facility With Truck ETA Information

Prakoso, Emanuel Febrianto (author), Maknoon, M.Y. (author), Pel, A.J. (author), Tavasszy, Lorant (author), Vanga, R. (author)

Due to the uncertain and dynamic environment around scheduling systems, timely revisions or reschedules of the master plans are essential for achieving optimal utilization. With the recent development of Industry 4.0 technologies, many researchers perceive the creation of cyber-physical systems as a solution for managing systems under...

journal article 2022

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Quantification and control of disruption propagation in multi-level public transport networks

Yap, M.D. (author), Cats, O. (author), Törnquist Krasemann, Johanna (author), van Oort, N. (author), Hoogendoorn, S.P. (author)

Due to the multi-level nature of public transport networks, disruption impacts may spill-over beyond the primary effects occurring at the disrupted network level. During a public transport disruption, it is therefore important to quantify and control the disruption impacts for the total public transport network, instead of delimiting the...

journal article 2022

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Microscopic simulation of decentralized dispatching strategies in railways

van Lieshout, R. N. (author), van den Akker, J. M. (author), Mendes Borges, R. (author), Druijf, T. (author), Quaglietta, E. (author)

This paper analyzes the effectiveness of decentralized strategies for dispatching rolling stock and train drivers in a railway system. Such strategies give operators a robust alternative in case centralized control fails due to an abundance of infrastructure or rolling stock disruptions or information system malfunctions. We test the...

journal article 2022

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Optimal locations for rescheduling infrastructure in public transport networks: Enhancing the robustness value against disruptions for Amsterdam tram network

Thakur, Suryawardhan (author)

Public transport networks are vulnerable to disruptions which have negative impacts on passengers, operator and society. New rescheduling link in PT networks has potential to increase its robustness value against disruptions. The research project deals with identifying the optimal locations of such rescheduling infrastructure in PT network which...

master thesis 2021

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Analysing the impacts of peak demand and traffic rescheduling in high frequency metro networks

Müller, Olmo (author)

With the increasing demand for public transport systems worldwide and also a lot of these systems running at their maximum capacity, there is a strong need for finding ways for these systems to operate in a more efficient way. In recent transportation research there is an increasing attention for operational conditions and the impact of...

master thesis 2021

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Passenger-centric timetable rescheduling: A user equilibrium approach

Binder, S. (author), Maknoon, M.Y. (author), Sharif Azadeh, S. (author), Bierlaire, M. (author)

Unexpected disruptions commonly occur in the railway network, causing delays, and extra cost for operators and inconvenience for passengers by missing their connection and facing overcrowded trains. This paper presents a passenger-centric approach for timetable rescheduling in case of disruption. We study a railway system in which passengers...

journal article 2021

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At-stop control measures in public transport: Literature review and research agenda

Gkiotsalitis, K. (author), Cats, O. (author)

In this literature review, we systematically review studies on public transit control with a specific focus on at-stop measures. In our synthesis of the relevant literature, we consider three perspectives: (1) the mathematical models of the proposed methodologies; (2) their complexity; (3) their applicability in real-time operations and their...

journal article 2021

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Dynamic railway timetable rescheduling for multiple connected disruptions

Zhu, Y. (author), Goverde, R.M.P. (author)

Unexpected disruptions occur in the railways on a daily basis, which are typically handled manually by experienced traffic controllers with the support of predefined contingency plans. When several disruptions occur simultaneously, it is rather hard for traffic controllers to make rescheduling decisions, because (1) the predefined contingency...

journal article 2021

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A next step in disruption management: combining operations research and complexity science

Dekker, Mark M. (author), van Lieshout, Rolf N. (author), Ball, Robin C. (author), Bouman, Paul C. (author), Dekker, Stefan C. (author), Dijkstra, Henk A. (author), Goverde, R.M.P. (author), Huisman, Dennis (author), Panja, Debabrata (author), Schaafsma, Alfons A.M. (author), van den Akker, Marjan (author)

Railway systems occasionally get into a state of being out-of-control, meaning that barely any train is running, even though the required resources (infrastructure, rolling stock and crew) are available. Because of the large number of affected resources and the absence of detailed, timely and accurate information, currently existing...

journal article 2021

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Airline maintenance task rescheduling in a disruptive environment

van Kessel, Paul (author)

Scheduling of airline maintenance tasks takes place in a disruptive environment. The stochastic arrival of non-routine maintenance tasks causes schedules to be adjusted continuously. Within this research a mixed integer linear programming model for airline maintenance task rescheduling in a disruptive environment is presented. Task scheduling is...

master thesis 2020

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Towards passenger-oriented simulation-based rescheduling in metro lines

Pardini Susacasa, Laura (author)

Unreliability is a major source of discontent for passengers using public transport. Real-time rescheduling is one of the tools available to deal with it. Although passenger movements have an impact on the development of a disturbance in public transport operations, this effect is rarely accounted for in rescheduling models for metro networks....

master thesis 2020

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Integrated timetable rescheduling and passenger reassignment during railway disruptions

Zhu, Y. (author), Goverde, R.M.P. (author)

During railway disruptions, most passengers may not be able to find preferred alternative train services due to the current way of handling disruptions that does not take passenger responses into account. To offer better alternatives to passengers, this paper proposes a novel passenger-oriented timetable rescheduling model, which integrates...

journal article 2020