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Using speed limits to prevent congestion at fixed infrastructural bottlenecks

Meijerman, M.J. (author)

The number of cars on the road and the need for transportation has increased rapidly during the past decades, leading to an increase of congestion. Traffic congestion and delays lead to high societal costs. Congestion leads to a capacity drop, i.e. the capacity of the road is reduced when congestion sets in. Due to limited financial and physical...

master thesis 2015

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Estimation of missing flow at junctions using control plan and floating car data

Xiao, X. (author)

master thesis 2015

document

Trajectory Generation for Trucks for Merging Manoeuvres on the Highway

Ou, Y. (author)

Trucks are largely used in road transportation worldwide in recent decades, and make great contributions to the GDP. Statistics shows that a large number of truck-involved accidents occur related to the ramp in merging manoeuvres on the highway. The accidents involved in trucks can lead to a considerable economic cost. The development of...

master thesis 2016

document

Hybrid Human in the Loop Model Predictive Control applied to Polder Management: Case study Ommoord

Veltman, F.A. (author)

In the Netherlands, flood protection has always been a key issue to protect settlements against storm surges and floods. Around 60 % of the country is potentially affected by flood from the rivers and the sea. Most of the flood-susceptible areas are low-lying polders. Whereas flood protection has traditionally been focused on structural measures...

master thesis 2016

document

Dynamic reverse Stackelberg games in infrastructure maintenance contract design

Wiesman, R. (author)

Infrastructure managers outsource maintenance activities to maintenance service contractors. This gives rise to misalignment between a contractor's short-term objectives and an infrastructure manager's long-term objectives. Infrastructure managers have started to explore various forms of contracts in which they incentivize contractors to work in...

master thesis 2017

document

System Identification for Nonlinear Model Predictive Control of a Drainage Canal System

Mensen, J.C. (author)

master thesis 2017

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Model Predictive Control for Hybrid Annealing Furnace at Tata Steel IJmuiden: Formulation and validation of model and controller

Nusman, Diederick (author)

The demand from the automotive industry for thinner, stronger and more ductile steels led to development of the so called Advanced High Strength Steels (AHSS). These new steel grades are produced at one of the hot dip galvanizing lines, “Dompel Verzinklijn 3” (DVL3), at Tata Steel IJmuiden. The annealing furnace in DVL3 consists out of a number...

master thesis 2017

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Distributed Optimization for Railway Track Maintenance Operations Planning

Muhammad Faris, Muhammad (author)

An essential component of railway infrastructures is track ballast. As railway track is used frequently by passing rolling stocks, its performance degrades over time. At certain degradation levels, maintenance interventions must be carried out to improve the track performance so to meet technical and safety regulations. In this way, the risk of...

master thesis 2018

document

Deep Learning for Monitoring the Health Condition of RailwayCrossings

Arif Nurhidayat, Arif (author)

In this thesis, a method to monitor the health condition of railway crossings based on vibration data recorded by the accelerometers installed on the crossing is proposed. Due to various types of trains and other exogenous factors, responses obtained from accelerometers vary, even when the crossing has the same state condition. As a consequence,...

master thesis 2018

document

Smart Curtailment of Renewable Energy Resources for Increasing Capacity of Distribution Grids

Mitta, Sreekar Reddy (author)

Nowadays renewable energy sources (RES) are growing at a rapid pace, particularly the wind energy. The high amount of wind power penetration into the power grids poses a major challenge to Transmission System Operators (TSO) in terms of the operational management, as wind power is highly uncertain. The highly uncertain nature of the wind power...

master thesis 2018

document

Simultaneous Multi-Robot Task Scheduling and Path Planning: An integrated approach to task scheduling and path planning for mobile robots in production environments

Aarts, Jeremy (author)

Manufacturing processes often run on a schedule, because each production step takes a certain amount of time, after which a component is transported to the next machine. Mobile robots can be used to automate transportation of components between production steps. To do so, a task scheduler assigns transportation tasks to robots and a path planner...

master thesis 2018

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Coalitional game theory for increasing the energy efficiency of cellular networks

Elderenbosch, Stijn (author)

The telecommunication sector is characterised by a huge energy consumption that is still increasing. Mobile network operators seek for new operating techniques to minimise their energy costs and their carbon footprint. One of these energy saving techniques is the use of energy efficient collaborations among the base stations (antennas) in their...

master thesis 2019

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Attitude and rate estimation without rate sensors: A Lie group approach

Koumpis, Nikolaos (author)

Attitude estimation is one of the basic processes of the attitude and orbit control system hosted by every satellite. The spacecraft should be orientated properly during the orbit, according to the mission objectives. The estimation is based on a plethora of sensors, like rate gyroscopes, star trackers, sun and earth sensors, magnetometers (for...

master thesis 2020

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Post-Disaster Restoration of Drinking Water Distribution Networks: A multi-objective optimization approach for isolation valve placement and restoration task scheduling

Dieben, Bas (author)

Drinking Water Distribution Network (DWDN) vulnerability to disasters yields ever threatening consequences to society. Earthquakes are shown to have devastating effects on these networks, causing multiple pipe breaks and leaks to occur simultaneously. This results in a lack of pressure and unavailability of water for extended time periods....

master thesis 2020

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Influences of Hydrogen on the Electrical Energy Transfer Peak in the Control of a Microgrid: Using Demand Response and Electric Vehicle Management

Bartels, Emiel (author)

A future rise in electrical energy demand is expected due to the electrification of the thermal energy supply and the rise in popularity of the Electric Vehicle (EV). This rise in the electrical energy demand results in needed investments in the electrical energy infrastructure to prevent congestion at the transformer due to the higher peak of...

master thesis 2020

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Shortening signal timings of vehicle-actuated controllers by using communicating, automated vehicles, in the transition period from fully human-driven vehicles to fully autonomous vehicles

van Giessen, Femke (author)

Intersections are the bottleneck of traffic flow. Vehicle-actuated control improved the delay at an intersection by making the green phase variable based on the presence of vehicles as measured by detector loops. The duration of the yellow and red phase remains fixed times because intentions of specific human-driven vehicles (HDVs) are unknown,...

master thesis 2021

document

A New Dispersion Model to Control the Emission Levels in the Vicinity of Freeways

Damoiseaux, Michiel (author)

One of the main sources of greenhouse gasses is the vast and still expanding road transport sector. The number of vehicles utilizing freeways increases every day, with more and more traffic jams as a result. Lately, the development of smart traffic management systems seems to be a way out and these systems are used extensively. In this thesis,...

master thesis 2021

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Learning parametric model predictive control strategies for frequency control of a microgrid

Bakker, Geert (author)

Microgrids are a promising tool that can help transition the electricity grid towards a smart grid. They can provide significant benefits to the power grid in the form of increased reliability and flexibility. The microgrid controller sets the electricity consumption and generation of all controllable devices within the microgrid and controls...

master thesis 2021

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Point and interval forecasting of short-term electricity price with machine learning: A theoretical and practical evaluation of benchmark accuracies for the Dutch intraday market

Vijn, Timo (author)

This research provides benchmark accuracies for forecasting of an aggregated price of the Dutch intraday market. While point forecasts in a single-step-ahead horizon for that unresearched market provide novel insights already, the scope of this research also includes interval forecasts in a multi-step-ahead horizon. A forecasting procedure is...

master thesis 2021

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Traffic Routing under Dynamic Network Topologies

Leeuwenberg, Marijn (author)

Inefficient road usage in a traffic network context – i.e. over-saturation on one route, where other roads are still available – is an important problem. It appears often and in different types of situations. We concentrate on congestion caused by predicted temporary road blockades, such as open bridges. This research aims to reduce such...

master thesis 2022