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Improving Traffic Efficiency With Lane Guidance Based on Desired Speeds

Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)

Drivers initiate a discretionary lane change when they perceive an anticipated improvement in their own driving condition from moving to another lane. However, such a lane change can slow down other vehicles on the target lane, and even worse initiate a disturbance. In this work, we argue that the blocking effect triggered by individual lane...

journal article 2024

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EV Smart Charging in Distribution Grids - Experimental evaluation using Hardware in the Loop Setup

Yu, Y. (author), De Herdt, Lode (author), Shekhar, A. (author), Chandra Mouli, G.R. (author), Bauer, P. (author)

The rising demand for electric vehicles (EVs) in the face of limited grid capacity encourages the development and implementation of smart charging (SC) algorithms. Experimental validation plays a pivotal role in advancing this field. This article formulates a hierarchical mixed integer programming EV SC algorithm designed for low voltage (LV)...

journal article 2024

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Classifying Human Manual Control Behavior Using LSTM Recurrent Neural Networks

Versteeg, Rogier (author), Pool, D.M. (author), Mulder, Max (author)

This article discusses a long short-term memory (LSTM) recurrent neural network that uses raw time-domain data obtained in compensatory tracking tasks as input features for classifying (the adaptation of) human manual control with single- and double-integrator controlled element dynamics. Data from two different experiments were used to train...

journal article 2024

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Controlled Power System Separation Using Generator PMU Data and System Kinetic Energy

Tyuryukanov, I. (author), Bos, Jorrit A. (author), Meijden, Mart A.M.M.van der (author), Terzija, Vladimir (author), Popov, M. (author)

With the growing number of severe system disturbances and blackouts around the world, controlled system separation is becoming an increasingly important system integrity protection scheme (SIPS) to save the electric power system from a complete or partial disintegration. A successful controlled splitting approach should at least tackle the...

journal article 2023

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Cyber-Physical Testbed Co-simulation Real-Time: Normal and Abnormal System Frequency Response

Riquelme-Dominguez, Jose Miguel (author), Gonzalez-Longatt, Francisco (author), Melo, Andre Felipe Silva (author), Rueda, José L. (author), Palensky, P. (author)

Future carbon-neutral power systems impose many challenges; one is the urgent need for a simulation platform that allows replicating the complex systems’ actual dynamic performance. This paper shows the results of implementing a cyber-physical testbed co-simulation in real-time to analyse the system frequency response considering primary...

journal article 2023

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Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

Du, Guodong (author), Zou, Yuan (author), Zhang, Xudong (author), Li, Z. (author), Liu, Qi (author)

The autonomous vehicle is widely applied in various ground operations, in which motion planning and tracking control are becoming the key technologies to achieve autonomous driving. In order to further improve the performance of motion planning and tracking control, an efficient hierarchical framework containing motion planning and tracking...

journal article 2023

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Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach

Liu, X. (author), Dabiri, A. (author), Wang, Yihui (author), De Schutter, B.H.K. (author)

Real-time train scheduling is essential for passenger satisfaction in urban rail transit networks. This paper focuses on real-time train scheduling for urban rail transit networks considering uncertain time-dependent passenger origin-destination demands. First, a macroscopic passenger flow model we proposed before is extended to include...

journal article 2023

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A Fully Homomorphic Encryption Scheme for Real-Time Safe Control

Stobbe, P.J. (author), Keijzer, T. (author), Ferrari, Riccardo M.G. (author)

Fully Homomorphic Encryption (FHE) has made it possible to perform addition and multiplication operations on encrypted data. Using FHE in control thus has the advantage that control effort for a plant can be calculated remotely without ever decrypting the exchanged information. FHE in its current form is however not practically applicable for...

conference paper 2022

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Nimbus: Towards Latency-Energy Efficient Task Offloading for AR Services

Cozzolino, Vittorio (author), Tonetto, Leonardo (author), Mohan, Nitinder (author), Ding, Aaron Yi (author), Ott, Jorg (author)

Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications depends on their smoothness and immersiveness. Modern AR applications applying computationally intensive computer vision algorithms can burden today's mobile devices, and cause high energy consumption and/or poor performance. To tackle this challenge, it...

journal article 2022

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Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

Van der Ploeg, Chris (author), Alirezaei, Mohsen (author), Van De Wouw, Nathan (author), Mohajerin Esfahani, P. (author)

In this article, we propose a tractable nonlinear fault estimation filter along with explicit performance bounds for a class of linear dynamical systems in the presence of both additive and nonlinear multiplicative faults. We consider the case, where both faults may occur simultaneously and through an identical dynamical relationship, a...

journal article 2022

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Stability and Accuracy Analysis of a Distributed Digital Real-Time Co-simulation Infrastructure

Barbierato, L. (author), Pons, Enrico (author), Mazza, Andrea (author), Bompard, Ettore (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author), Macii, Enrico (author), Bottaccioli, Lorenzo (author), Patti, Edoardo (author)

Cosimulation techniques are gaining popularity amongst the power system research community to analyze future scalable smart grid solutions. However, complications such as multiple communication protocols, uncertainty in latencies are holding up the widespread usage of these techniques for the power system analysis. These issues are even...

journal article 2022

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Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market

Bellizio, Federica (author), Xu, Wangkun (author), Qiu, Dawei (author), Ye, Yujian (author), Papadaskalopoulos, Dimitrios (author), Cremer, Jochen (author), Teng, Fei (author), Strbac, Goran (author)

Digitalization is one of the key drivers for energy system transformation. The advances in communication technologies and measurement devices render available a large amount of operational data and enable the centralization of such data storage and processing. The greater access to data opens up new opportunities for a more efficient and...

journal article 2022

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Curve Tilting With Nonlinear Model Predictive Control for Enhancing Motion Comfort

Zheng, Y. (author), Shyrokau, B. (author), Keviczky, T. (author), Sakka, Monzer Al (author), Dhaens, Miguel (author)

The benefits of automated driving can only be fully realized if the occupants are protected from motion sickness. Active suspensions hold the potential to raise the comfort level in automated passenger vehicles by enabling new functionalities in chassis control. One example is to actively lean the vehicle body toward the center of the corner...

journal article 2022

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Real-time UAV routing strategy for monitoring and inspection for post-disaster restoration of distribution networks

Fu, J. (author), Nunez, Alfredo (author), De Schutter, B.H.K. (author)

Natural disasters pose a tremendous risk to the reliability of distribution networks. In this paper, a novel real-time UAV routing strategy for coordination between monitoring and inspection for post-disaster restoration in distribution networks is proposed. With our proposed real-time UAV routing strategy, damages can be inspected by UAVs...

journal article 2022

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Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems

van der Ploeg, Chris (author), Silvas, Emilia (author), van de Wouw, Nathan (author), Mohajerin Esfahani, P. (author)

Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the presence of disturbances, noise, or varying system dynamics, such estimation is even more challenging. To address this challenge, this letter proposes a novel filter to estimate multiple fault signals for a class of discrete-time linear...

journal article 2022

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Occlusion Handling and Multi-scale Pedestrian Detection Based on Deep Learning: A Review

Li, Fang (author), Li, Xueyuan (author), Liu, Qi (author), Li, Z. (author)

Pedestrian detection is an important branch of computer vision, and it has important applications in the fields of autonomous driving, artificial intelligence and video surveillance.With the rapid development of deep learning and the proposal of large-scale datasets, pedestrian detection has reached a new stage and achieves better performance...

journal article 2022

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Transient Stable Corrective Control Using Neural Lyapunov Learning

Bellizio, Federica (author), Cremer, Jochen (author), Strbac, Goran (author)

This paper proposes a method to compute corrective control actions for dynamic security in real-time and quantifies the economic value of corrective control. Lowered inertia requires fast control methods in real-time to correct system operation and maintain system security when equipment fails. However, using corrective control beyond such...

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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Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving

Zhou, Feng (author), Yang, X. Jessie (author), de Winter, J.C.F. (author)

Situation awareness (SA) is critical to improving takeover performance during the transition period from automated driving to manual driving. Although many studies measured SA during or after the driving task, few studies have attempted to predict SA in real time in automated driving. In this work, we propose to predict SA during the takeover...

journal article 2022

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Development and testing of a prototype of a dental extraction trainer with real-time feedback on forces, torques, and angular velocity

Beuling, M.G. (author), van Riet, T.C.T. (author), van Frankenhuyzen, J. (author), van Antwerpen, R. (author), de Blocq van Scheltinga, S. (author), Dourleijn, A.H.H. (author), Ireiz, D. (author), Streefkerk, S. (author), van Zanten, J.C. (author), de Lange, Jan (author), Kober, J. (author), Dodou, D. (author)

The need for a training modality for tooth extraction procedures is increasing, as dental students do not feel properly trained. In this study, a prototype of a training setup is designed, in which extraction procedures can be performed on jaw models and cadaveric jaws. The prototype was designed in a way that it can give real-time feedback on...

conference paper 2022