Dynamic and Robust Timetable Rescheduling for Uncertain Railway Disruptions

Unexpected disruptions occur frequently in railway systems, during which many train services cannot run as scheduled. This paper deals with timetable rescheduling during such disruptions, particularly in the case where all tracks between two stations are blocked for a few hours. In practice, the disruption length is uncertain, and a disruption...

Real time traffic models, decision support for traffic management

Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various control strategies and enhance the performance of...

Coordination of Heterogeneous Deferrable Loads using the F-MBC Mechanism

Increasing participation of prosumers in the electricity grid calls for efficient operational strategies for utilizing the flexibility offered by Distributed Energy Resources (DER) to match supply and demand. This paper investigates the coordination performance of a recently proposed coordination scheme for deferrable loads: Forecast Mediated...

Frequency Regulation Reserves Provision in EV Smart-Charging

Smart-Charging of Electric Vehicles (EVs) is able to provide frequency regulation capacity services to the System Operator (SO) upon an automation generation control (AGC) signal. While the amount of available regulation capacity is of-fered in the Day-Ahead Market (DAM), there is high uncertainty on the actual amount of reserves that will be...

Real Time Traffic Models, Decision Support for Traffic Management

Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various control strategies and enhance the performance of...

Dynamic and robust timetable rescheduling for uncertain railway disruptions

Unexpected disruptions occur frequently in the railways, during which many train services cannot run as scheduled. This paper deals with timetable rescheduling during such disruptions, particularly in the case where all tracks between two stations are blocked for hours. In practice, a disruption may become shorter or longer than predicted. To...

Model predictive control with memory-based discrete search for switched linear systems

Controlling systems with both continuous and discrete actuators using model predictive control is often impractical, since mixed-integer optimization problems are too complex to solve sufficiently fast. This paper proposes a parallelizable method to control both the continuous input and the discrete switching signal for linear switched...

Intra-day scheduling of a local energy community coordinated with day-ahead multistage decisions

The paper presents a coordinated day-ahead and intra-day approach for the scheduling of the resources in a local energy community (LEC). The considered LEC consists of a collective of power prosumers that can directly trade energy with each other in addition to the external provider. The scheduling approach is based on the alternating...

Dynamic railway timetable rescheduling for multiple connected disruptions

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...

A closed-loop maintenance strategy for offshore wind farms: Incorporating dynamic wind farm states and uncertainty-awareness in decision-making

The determination of maintenance strategies is subject to complexity and uncertainty arising from variable offshore wind farm states and inaccuracies in model parameters. The most common method in the existing studies is to adopt an open-loop approach to optimize a maintenance strategy. However, this approach lacks the ability to capture...

Automated taxis’ dial-a-ride problem with ride-sharing considering congestion-based dynamic travel times

In this paper, we study the dial-a-ride problem of ride-sharing automated taxis (ATs) in an urban road network, considering the traffic congestion caused by the ATs. This shared automated mobility system is expected to provide a seamless door-to-door service for urban travellers, much like what the existing transportation network companies ...

A dynamic shipment matching problem in hinterland synchromodal transportation

Hinterland intermodal transportation is the movement of containers between deep-sea ports and inland terminals by using trucks, trains, barges, or any combination of them. Synchromodal transportation, as an extension of intermodal transportation, refers to transport systems with dynamic updating of plans by incorporating real-time information...

Integration of port approach in the port call: Using information-sharing and Virtual Arrival for the reduction of vessel emissions

In 2018, the International Maritime Organization (IMO) adopted a resolution to reduce the emission of greenhouse gasses of maritime shipping in the near future. A reduction of 50% in CO2-emissions is the goal for the year 2050 in comparison to 2008. Furthermore, the peak in emissions should lie before 2025 and steadily decrease afterwards.<br/...

Batch Scheduling of Multi-Product Pipeline Networks

In oil supply chains, crude oil needs to be transported from oil fields to refineries, and refined products need to be transported from refineries to regional depots. On land, pipelines are the preferred mode for long-distance oil transportation, because they are safe, efficient, silent, and cheap compared to other modes of transport. Pipelines...

Maritime Inventory Routing using Constraint Programming

The maritime inventory routing problem (MIRP) is a tactical and operational planning problem, that takes an integrated view on ship scheduling and inventory management for bulk products. Given production and consumption levels during a predetermined planning horizon, the problem aims at finding delivery schedules with minimal travel costs, such...

A generic approach to a rout guidance strategy

The thesis presents a generic methodology able to generate optimal controlled dynamic prescriptive route guidance to be disseminated by means of variable message signs (VMS). The methodology is generic in the sense it can be used on any network topology, with any number of VMS's, for different scenario's (e.g. recurrent congestion or accidents),...

Real Time Market Based Control of Flexible Distributed Energy Resources

Advancements in the field of Information and Communication Technologies (ICT) has enabled the possibility to utilize the flexibility offered by responsive assets in a better way by employing Demand Response (DR) schemes. This thesis analyzes the performance of one such DR scheme developed at TU Delft called Forecast mediated Market Based Control...