Impact of stakeholder cooperation for centralized route guidance and full automated vehicle compliance

Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles

Inner approximations of stochastic programs for data-driven stochastic barrier function design

A methodology for prediction accuracy assessment of intelligent traffic signal control algorithms with SPaT messages

A practitioner’s View of Driver Training for automated driving From Driving Examiners: A Focus group Discussion

Meaningful Human Control over Automated Driving Systems

Full platoon control in Truck Platooning: A Meaningful Human Control perspective

Exploring the effects of perception errors and anticipation strategies on traffic accidents - A simulation study

Hybrid traffic state estimation and prediction using pattern recognition

Bounded acceleration capacity drop in a Lagrangian formulation of the kinematic wave model with vehicle characteristics and unconstrained overtaking

Real-time travel time prediction framework for departure time and route advice

Communicatie van model onzekerheden: Meer of minder?

Introducing the Core Probability Framework and Discrete-Element Core Probability Model for efficient stochastic macroscopic modelling

The influence of adverse weather conditions on the probability of congestion on Dutch motorways

Communicating uncertainty in cost-benefit analysis: A cognitive psychological perspective

Kwantificatie van de invloed van regen op de verkeerdoorstroming

Core Probability Model : Efficient macroscopic sensitivity modelling: Conceptual design

Verschuiving naar probabilistische modellering is geen keuze

Probability in traffic: A challenge for modelling