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Freeway Traffic Control - An adaptive control approach towards easy-to-implement Variable Speed Limit algorithms

Tsaniklidis, Georgios (author)

Nowadays, the high demand for road transportation often reaches a point where it exceeds the capacity of freeway traffic networks, resulting in congestion. Freeway traffic congestion is a major social problem, as it is the reason for increased time delays, higher accident risk and environmental pollution. There is, therefore, the need for a...

master thesis 2023

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A distributed approach to improve inland water transportation addressing privacy and incremental improvements

Geboers, Sven (author)

Currently, inland waterway shipping mainly includes barges and bulk transportation with little to no variation in volume, product, and route. Since transport over water emits less CO2 per tonne-km than road transport, a potential way to reduce CO2 emissions is to transport more containers via inland waterways. Large delays cause unreliability,...

master thesis 2022

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Railway disruption management with passenger-centric rescheduling

Wentges, Berend (author)

Railway networks are subjected to disruptions on a daily basis, which may make the timetable unimplementable, which in its turn may significantly influence passenger satisfaction. In practice, train dispatchers are responsible for mitigating the influence of disruptions, such as delays of trains, train cancellations, and overcrowdedness at...

master thesis 2022

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Combined model predictive control and parking resource allocation in urban traffic networks

Bottemanne, Max (author)

Urban areas with many daily commuters often experience a reduction in traffic flow during rush hours. In some urban areas where this reduction in traffic flow occurs, there are popular destinations for leisure that have multiple large parking facilities. Vehicles searching for vacant parking spots drive at a lower vehicle speed, reducing the...

master thesis 2022

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Long-term traffic flow predictions in a transformer-based framework: Capturing temporal and external features, to obtain a traffic flow prediction for the next 24 hours

Petsch, Carmen (author)

Traffic flow predictions are an important component in the rising demand for solutions to cope with the increasing pressure on transportation networks. Especially on a long prediction horizon, traffic flow predictions remain challenging due to the complex, nonlinear nature of traffic flow and the influence of both temporal and external features....

master thesis 2022

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Optimal condition-based maintenance of asphalt concrete pavements

van Aggelen, Michele (author)

Maintenance is a necessary measure to keep the asset, in this case a road network, in good condition. Spending too much on maintenance is clearly not efficient, while not spending enough may cause the condition to drop below a desired value; moreover, it will almost always cost more to correct the emerging damages afterwards. <br/>In this report...

master thesis 2022

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Preventive-corrective contingency control of distribution power grids using convolutional neural networks

Treurniet, Wiljo (author)

To achieve the goals on greenhouse gas emissions, the energy supply and demand is in transition. Distribution power grids therefore are increasingly reaching their capacity limits due to electrification and the vast increase of distributed energy resource (DER) connection requests with large peak power output. Increasing physical grid capacity...

master thesis 2022

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Adaptive particle-aided cubature Kalman filtering for GNSS/INS-based vehicle localization

den Boer, Dirk (author)

Accurate vehicle localization is considered to be a key element in future automated driving systems. A network of multiple sensors is employed to deliver information for this localization process. Loosely coupled integration of global navigation satellite systems (GNSS) and inertial navigation systems (INS) data is a common sensor-fusion method...

master thesis 2022

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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

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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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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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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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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

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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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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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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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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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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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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

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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