Details

Autor(en) / Beteiligte

• Rossner, Patrick
• Friedrich, Marty
• Felbel, Konstantin
• Dettmann, André
• Bullinger, Angelika C.

Titel

I Also Care in Manual Driving - Influence of Type, Position and Quantity of Oncoming Vehicles on Manual Driving Behaviour on Straights on Rural Roads

Ist Teil von

• HCI International 2023 – Late Breaking Papers, p.381-389

Ort / Verlag

Cham: Springer Nature Switzerland

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• There is not yet sufficient knowledge on how people want to be driven in a highly automated vehicle. Many studies suggest that automated vehicles should drive like a human driver, e.g. moving to the right edge of the lane when meeting oncoming traffic. To generate naturally looking trajectory behaviour, more detailed studies on manual driving are necessary. The authors report on a driving simulator study investigating twelve different oncoming traffic scenarios. 46 subjects experienced scenarios with variations in type of vehicle (trucks, cars), quantity (one, two) and position (with/without lateral offset) – each on a lane 3.00 m or on 2.75 m wide respectively. Results show that subjects react to oncoming traffic by veering to the right edge of the lane. We also found that quantity, type, and position of oncoming vehicles influence manual driving behaviour. Trucks and vehicles with lateral offset to the road centre lead to greater reactions and hence to more lateral distance between the ego and the oncoming vehicle. From this study on manual driving, we recommend an adaptive autonomous driving style which adjusts its trajectory behaviour on type and position of oncoming vehicles. Thus, our results help to design an accepted and trusted trajectory behaviour for highly automated vehicles.