A General Hierarchical Control System to Model ACC Systems: An Empirical Study

Urged by a close future perspective of a traffic flow made of a mix of human-driven vehicles and automated vehicles (AVs), research has recently focused on studying the traffic flow characteristics of Adaptive Cruise Controls (ACCs), the most typical AV. However, in most works, the ACC system is studied under a simplifying and unrealistic...

Hierarchical Cooperative Mission Planning of Non-Homogeneous Autonomous Search-and-Rescue Robots

The application of autonomous robots in search-and-rescue (SAR) missions forms a challenging field of research. Cooperative search behaviour can greatly increase the efficiency with which a multi-agent system creates situational awareness of and finds victims within an unknown environment. In this research we develop an autonomous mission...

Development of a Python tool based on model predictive control for an optimal management of the Calais canal

Model predictive control (MPC) has been widely employed to control a large variety of water systems, such as dams, irrigation canals, inland waterways, drinking water networks and wastewater treatment plants. Its predictive capabilities and the possibility to incorporate constraints make MPC well suited to address several, and sometimes...

Coordination Strategies of Connected and Automated Vehicles near On-ramp Bottlenecks on Motorways

The aim of the thesis is to design coordination strategies for connected automated vehicles near on-ramps considering controller performance, safe lane changing conditions, maneuver planning, and trajectory control. CAVs have enhanced situation awareness with their onboard detection units and vehicle-to-everything communications. They have the...

Investigating Hidden Flexibilities Provided by Power-to-X Considering Grid Support Strategies

Highly volatile nature of renewable energy sources (RES) has increased the demand for flexibility in electrical power systems. Electrification of the industry with power-to-X (PtX) technologies is one of the most promising ways to increase energy system flexibility since industry accounts for the largest share of the world’s total energy demand....

An Exploration of Integrated Bi-level Local and Global Model Predictive Control for Air Traffic Control Applications

A hierarchical bi-level model predictive controller is proposed in this thesis to reduce the computational complexity of controlling a large scale air traffic control problem, using a model predictive control approach. The bi-level controller developed and tested in this research project is a combination of a global, long-term, slow-rate,...

A hierarchical approach for splitting truck platoons near network discontinuities

Truck platooning has attracted substantial attention due to its pronounced benefits in saving energy and promising business model in freight transportation. However, one prominent challenge for the successful implementation of truck platooning is the safe and efficient interaction with surrounding traffic, especially at network...

Hierarchical energy management system for microgrid operation based on robust model predictive control

This paper presents a two-level hierarchical energy management system (EMS) for microgrid operation that is based on a robust model predictive control (MPC) strategy. This EMS focuses on minimizing the cost of the energy drawn from the main grid and increasing self-consumption of local renewable energy resources, and brings benefits to the...

A Computational Intelligence Approach to Voltage and Power Control in HV-MTDC Grids

An ever increasing interest in renewable energy sources (RES) in order to reduce global carbon emissions and alleviate problems posed by climate changes has lead to dramatic increase particularly in offshore wind energy projects. Several different projects are currently being executed and so many are being planned for the future. The location of...

Load-sensing Based Integrated Chassis Control: Using hierarchical strategy and control allocation

Evolution of new technologies, market preferences and vehicle safety standards and regulations motivate the automotive industry to contribute to higher quality mobility and safer transportation for the society. With the compelling development of electronics over the past few decades, passenger cars are equipped with an increasing number of...

Multi agent-based control architecture in intelligent transportation system with infrastructure-based sensing

Traffic congestion has negative impact in our life. In 2001, the European Commission estimated costs of congestion at around 120 billion Euro. The research of Intelligent Transportation System (ITS) becomes interesting since infrastructure expansion in not always feasible. In order to find out the impact of automated vehicle and intelligent...