SIMUSAFE cyclist behavior in simulator and in real-world

This dataset includes data collected by the SIMUSAFE H2020 EU project (2017-2021) during its first data acquisition cycle. Voluntary bicycle riders are the subjects in this dataset, and the dataset includes a combination of sensory and psychological characteristics data. Sensory data was recorded in one of two settings: driving around the city in reality (NDT) and driving in a simulator (NST) along routes that were designed to imitate similar in-city driving. Overall, the dataset consists of recordings from 7 subjects for the following durations: Total time per user (hours): User Overall recording duration USER0 0 days 17:28:06.284997888 USER1 0 days 04:25:50.084999680 USER2 0 days 00:11:50.677999616 USER3 0 days 01:30:38.754000640 USER4 0 days 02:44:50.625000192 USER5 0 days 00:24:49.070000128 USER6 0 days 01:15:46.702999040 Data measurements and computed attributes: GPS coordinates, acquired by a real GPS receiver in NDT and via a simulated receiver in NST. We extracted velocity from the GPS measurements, computed as the distance between every two subsequent coordinates divided by their corresponding timestamps. As a second derivative, Acceleration was then also derived from the difference of the above-mentioned velocity change between the two subsequent points divided by the time-delta. Accelerometer data were used to compute the Euclidean norm of the acceleration (a.k.a l2-norm) over the acceleration coordinates vector (i.e., {ax; ay; az}) at each point in time. This feature is sometimes also referred to as the energy-expenditure of the motion. Additional features: De/Acceleration {high / low / none}, computed per user per scenario. For each user, acceleration measurements were partitioned by quartiles and were computed per scenario. High-Acceleration was defined as values above the 3rd quartile and low-acceleration as values below. No-acceleration was denoted for the case of acceleration is equal to zero. Respectively, decelerations were computed in an equivalent manner, computed from the partitioning of negative acceleration values. Data preparation & preprocessing GPS coordinates were de-duplicated w.r.t subsequent entries. To avoid issues originating from weak/loss of GPS signal, entries were partitioned into sessions. A session is defined as a sequence of entries with time-deltas no larger than 10 seconds. Velocity & acceleration were derived based on time-deltas within sessions. Rows with a velocity above or equal to 50km/h were filtered out base