CIRCEXTIN: A strategic partnership to promote a circular economy approach in study programs related to the inclusive mining industry

The main goal of the project is to create a comprehensive training platform that will be helpful in modifying and updating educational programs at universities related to the sub surface exploitation related industry, with the latest and practical knowledge linked to the effective application of circular economy waste management principles.

Investigation of dominating DEM parameters for multicomponent segregation during heap formation, hopper discharge and chute flow

This work aims to identify the most influential DEM parameters for modelling multi-component segregation during heap formation, hopper discharge, and chute flow.

Does Crowdshipping of Parcels Generate New Passenger Trips? Evidence from the Netherlands

Crowdsourced shipping or crowdshipping is a promising contender for sustainable parcel delivery services due to the potential to consolidate freight trips with pre-existing passenger trips. However, the opportunity for private persons to act as occasional carrier can also generate new trips, which could then increase traffic volumes. Previous...

Implementation of Delineation Error Detection Systems in Clinical Practice: Do AI-Supported Optimization and Human Preferences Meet?

Exploring the experiences of young children with severe hemophilia and their caregivers

Exploring the Effects of the Hedy User Interface on the Development of CS Interest in Girls

Women are underrepresented in Computer Science (CS). Closing the gender gap in CS benefits the economy, gender equality and society. However, girls have low CS interest while interest energizes learning and guides career trajectories. We explore the effects of the user interface of Hedy, a graduate language which teaches the syntax of Python, on...

Building Appropriate Trust in AI: The Significance of Integrity-Centered Explanations

Establishing an appropriate level of trust between people and AI systems is crucial to avoid the misuse, disuse, or abuse of AI. Understanding how AI systems can generate appropriate levels of trust among users is necessary to achieve this goal. This study focuses on the impact of displaying integrity, which is one of the factors that influence...

Accelerating Innovation: An action research approach for PhD research

This poster presents the “Accelerating Innovation” programme, a set up for<br/>three PhD research projects that was created within the collaboration between the<br/>Royal Schiphol Group and the Industrial Design Engineering faculty of the TU Delft.<br/>With this collaboration, researchers from the IDE faculty were engaged in three challenges: (1...

Large Scale Calibration of Agent-Based Models in Social Systems with Sensitive Data

Private investment in public urban space: Dutch real estate developer and investor motivations and conditions

Private investment in and management of public urban space has been a subject of practice and debate in real estate studies and industry in recent years (De Magelhães &amp; Freire Trigo, 2017; Le Clercq et al., 2020). Such mainly Anglo-Saxon endeavours can be explained by an continuous austerity era of government retrenchments in urban planning...

Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection

Detecting abnormal driving behavior is critical for road traffic safety and the evaluation of drivers' behavior. With the advancement of machine learning (ML) algorithms and the accumulation of naturalistic driving data, many ML models have been adopted for abnormal driving behavior detection. Most existing ML-based detectors rely on (fully)...

Exploring the Dynamics of Entrepreneurship, Innovation and Investing in Construction Robotics

Startups seeking scale often turn to venture capital (VC) for funding, gaining financial support, industry connections, and insights in exchange for equity. Transitioning from initial markets to mergers, acquisitions, IPOs, SPACs, or buyouts, startups face the dual potential for immense success or failure, a hallmark of the high-risk startup...

How does “listening” help fracture understanding?

Understanding the relationship between the sensors’ outputs and the damage evolution within the joints is becoming increasingly crucial to improving structural health monitoring systems and collecting data to improve the joint’s design. Therefore, a study of the acoustic emission method associated with visual fracture evaluation was proposed to...

Social-aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving through Roundabouts as a Case Study

The gradual deployment of automated vehicles (AVs) results in mixed traffic where AVs will interact with human-driven vehicles (HDVs). Thus, social-aware motion planning and control while considering interactions with HDVs on the road is critical for AVs’ deployment and safe driving under various maneuvers. Previous research mostly focuses on...

Connected Traffic of Vulnerable Bicyclists and Automated Vehicles: Deep Learning Trajectory Generation for Realistic Simulated Bicycle Intersection Crossings

Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning

The burgeoning navigation services using digital maps provide great convenience to drivers. However, there are sometimes anomalies in the lane rendering map images, which might mislead human drivers and result in unsafe driving. To accurately and effectively detect the anomalies, this paper transforms lane rendering image anomaly detection into...