A Flexible Behavioral Framework to Model Mobility-on-Demand Service Choice Preferences

Understanding economic decision-making is essential for impactful policy design. In the literature, two main modelling paradigms exist: compensatory and non-compensatory. In this work, we advance the field of decision theory by developing a flexible choice model capable of approximating two modelling paradigms without imposing any a-priori...

Modelling adaptive behaviour to predict the effectiveness of contact-tracing apps integrated in risk mitigation strategies: How the Dutch government can achieve positive compliance with the CoronaMelder during the Covid-19 pandemic

The Covid-19 pandemic has outlined the creativeness of each country in the definition of the most appropriate public health management strategies to curb the spread of the SARS-CoV-2 virus, ranging from total lockdowns to trusting in people’s common sense to act properly. Several non-pharmaceutical health interventions have nationally been...

On lane assignment of connected automated vehicles: strategies to improve traffic flow at diverge and weave bottlenecks

This paper presents a novel approach to improve traffic throughput near diverge and weave bottlenecks in mixed traffic with human-driven vehicles (HDVs) and connected automated vehicles (CAVs). This is done by the strategic assignment of CAVs across lanes. The main principle is to induce strategic and necessary lane changes (LCs) (by CAVs and...