Driving simulator dataset on human driven vehicles' car following behaviour in mixed traffic with automated vehicles
Wat erin zit
This research is based on data gathered in 2023 at Delft University of Technology. This dataset is from a driving simulator experiment, whose goal was to study human drivers' behaviour in mixed traffic, which has both human-driven vehicles (HDVs) and automated vehicles (AVs). A driving simulator experiment was designed to collect data on the car-following behavior of HDVs in the different scenarios. The driving simulator used is located at the Transport & Planning department of Delft University in the Netherlands. It operates using the SCANeR (v1.9) software by AV Simulation. It is a fixed base driving simulator equipped with a Fanatec steering wheel and pedals, a dashboard mock-up, and three 4 K high-resolution screens which approximately provide 180° vision. The dataset consists of 47 drivers. We categorized them into three age categories. There were 16 younger (25 - 45) drivers (8 male, 8 female), 16 middle-aged (45 – 65) drivers (8 male, 8 female), and 15 older (70+) drivers (10 male, 5 female). The route in the driving simulator consisted of 3 parts. Part 1: 3 motorway on-ramps (excluding an initial on-ramp), Part 2: 3 provincial road signalized intersections, and Part 3: a …
Bestanden en diensten
- DataCite REST API (JSON)api.datacite.orgOpenen