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Multi-stage optimal design of road networks for automated vehicles with elastic multi-class demand
Optimizing Road Networks for Automated Vehicles with Dedicated Links, Dedicated Lanes, and Mixed-Traffic Subnetworks
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
Analysing Noisy Driver Physiology Real-Time Using Off-the-Shelf Sensors: Heart Rate Analysis Software from the Taking the Fast Lane Project.
Assessing the travel impacts of subnetworks for automated driving: An exploratory study
Mobility impacts of early forms of automated driving: A system dynamic approach
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
Modelleren van mobiliteitsbeprijzing met meerdere actoren
Robuustheid van multi-level openbaar vervoer netwerken: Een methodologie om (on)robuustheid te kwantificeren vanuit een reizigersperspectief
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