Red solid lines represent an aggressive driving session while green dashed lines represent a smooth driving session in each graph.
All of these data can be used to replay driving sessions in the laboratory and to extract data associated with different driving session segments.
The proposed method is based on the fusion of visual and sensor features to characterize related driving session and to decide whether the session involves aggressive driving behaviour.
The number of inappropriate line crossings were analyzed using negative binomial regression in Stata, version 9.0 (Stata Corp., College Station, USA), using number of line crossings in the last hour of driving per participant as dependent variables and driving sessions (9 10 pm, 3 5 am, 1 5 am and 9 pm–5 am) as determinants clustered on participants.
Whole dataset contains driving sessions of six different drivers.
From the whole collected dataset, a total of 83 driving sessions including 41 aggressive and 42 smooth sessions having a duration of 40 s, 51 driving sessions including 22 aggressive 29 smooth sessions having a duration of 80 s and 22 driving sessions including 11 aggressive 11 smooth sessions having a duration of 120 s are tested according to proposed algorithm.
These narratives explain the events in the driving session.
The paper also studies the required driving session duration that can be efficiently decided if it involves aggressive driving behaviour.
This study examined driving performance in adults with ADHD during a simulated driving session.
(B ) Experiments 2 and 4: three driving sessions (i.e., one per target speed) were performed in random order for experiment 2, and one session for experiment 4. Before each test session, the drivers performed a training phase in which a numerical feedback indicated the driving speed when it did not match the target speed (white digits at the bottom of the screen, left panel).
Feedback drivers received feedback about their previous on-road (on session 2 only) and simulator driving (on session 2, 3 and 4) prior to driving in the simulator.
