Operationalizing modular autonomous customised buses based on different demand prediction scenarios

This paper presents a novel framework for customised modular bus systems that leverages travel demand prediction and modular autonomous vehicles to optimise services proactively. The proposed framework addresses two prediction scenarios with different forward-looking operations: optimistic operation and pessimistic operation. A mixed integer...

Robust OCTs: Investigating classification tree robustness

The application of machine learning in daily life requires interpretability and robustness. In this paper we try to make the process of building robust and interpretable decision trees more accessible. We do this by making the fitting of these models cheaper and simpler. We build on previous research and see if changing input data or the fitting...

Applying Constraint Programming To Enterprise Modelling

Enterprise Modelling (EM) is the process of producing models, which in turn can be used to support understanding, analysis, (re)design, reasoning, control and learning about various aspects of an enterprise. Various EM techniques and languages exist, and are often supported by computational tools, in particular simulation. The goal of this...

Digital Fabrication of a Timber Bridge: Design, optimisation, fabrication and testing at global and connection level

Rapid developments of both new (digital) fabrication techniques and innovative software facilitate the possibility to design, check and construct objects with great complexity and uniqueness without a large price tag. After new techniques slowly entered the field of architecture, the next step is to apply them in civil engineering to design load...