Optimizing Road Networks for Automated Vehicles with Dedicated Links, Dedicated Lanes, and Mixed-Traffic Subnetworks

Multi-stage optimal design of road networks for automated vehicles with elastic multi-class demand

A bi‐level model to optimize road networks for a mixture of manual and automated driving: An evolutionary local search algorithm

HeartPy: A novel heart rate algorithm for the analysis of noisy signals

A classification of the long-distance travel market

Potentials for reducing greenhouse gas emissions by inducing modal shift in European long-distance passenger travel

Assessing the travel impacts of subnetworks for automated driving: An exploratory study

Analysing Noisy Driver Physiology Real-Time Using Off-the-Shelf Sensors: Heart Rate Analysis Software from the Taking the Fast Lane Project.

Mobility impacts of early forms of automated driving: A system dynamic approach

Network Design and Impacts of Automated Driving: An Explorative Study

Image-based assessment of road network readiness for automated driving: A judgement game

Optimizing Urban Road Networks for Automated Driving

Identification and quantification of link vulnerability in multi-level public transport networks: a passenger perspective

Multi-level driver workload prediction using machine learning and off-the-shelf sensors

The impact of route guidance, departure time, and alternative routes on door-to-door travel time reliability: Two data-driven assessment methods

Potentials for reducing greenhouse gas emissions by inducing modal shift in longdistance passenger travel (PPT)

Modelleren van mobiliteitsbeprijzing met meerdere actoren

Travel Survey Design and Description of Multimodal Trips

Robuustheid van multi-level openbaar vervoer netwerken: Een methodologie om (on)robuustheid te kwantificeren vanuit een reizigersperspectief