DOI: 10.71758/refodat.33
title: Eye-tracking data of 20 participants driving a car over pedestrian crossings in Weimar, Germany

description: Dataset of eyetracking data from a naturalistic eye-tracking study in 2021. The dataset was collected during a study with 20 participants, which drove a car over six different pedestrian crossings in Weimar, Germany. Several factors were recorded such as the fixations of different areas of interest and sourrinding traffic conditions. Data collection was supervised by the Chair of Transporty System Planning at Bauhaus-Universität Weimar, Germany.
description: The folder contains two files: eyetrackingdata_raw.csv - containing the raw eyetracking data in German eyetrackingdata_filtered+translated.csv - containing a refined, filtered and translated version, focussing on the relevant columns Most relevant columns are: FGUE – ID number of the pedestrian crossing PART_ID – ID number of the participant CROSSID - ID number of the pedestrian crossing AOI – Area of Interest AVGFIX – Average fixation of an AOI in ms FIXATION_COUNT – number of fixations NUMFIX – number of fixations normalized by the duration of the observation CARUSE – regularity of caruse PEDRIGHT – presence of pedestrians in the right side area PEDLEFT - presence of pedestrians in the right side area CARFRONT – presence of a car in front of the test car CAROPPOSE – presence of a car in the opposing lane SUM_FIXATION – total number of fixations during the observation FIXSH – share of the fixations for this AOI from all AOI DRIVEEXP – years of driving experience
description: The present study investigates the visual attention of car drivers at pedestrian crossings. The following selection criteria for the 20 participants were applied: Focus: Study on driving behaviour, therefore all participants needed a valid driving licence. Gender balance: 50% female, 50% male (10 each). Age range: 20–35 years (M = 25, SD = 4), to ensure comparable psychomotor abilities and driving experience. Driving experience: Mixed sample of frequent and less frequent drivers (weekly or less). Exclusion criteria: No participants requiring glasses unless they could use contact lenses, to avoid interference with eye-tracking technology. A predefined route was developed for the experiments: Route location: Standardised 5.7 km route through Weimar, Germany Environment: Urban and suburban areas Speed limits: Between 30 and 50 km/h Duration: 12–21 minutes (average: 15 minutes), meaning a short route so no expected decrease in perception Pedestrian crossings: 6 total (4 unique crossings, 2 passed twice) Overview and characteristics of pedestrian crossings Pedestrian Crossing ID Location Lanes Signage Position Number of Passes 1 Marienstraße, Weimar, Germany Across two lanes with guide line (sign 340) and cycle lanes Sign 350 on the side, danger sign (101) in advance Urban area on a straight road 1 2 and 5 Belvederer Allee – near Falkenburg, Weimar, Germany Across two lanes with median island and cycle lanes Sign 350 on the side and above Suburban area on a straight road 2 3 and 4 Belvederer Allee – near Thuringia International School, Weimar, Germany Across two lanes without guide line Sign 350 on the side and above Suburban area on a straight road 2 6 Am Poseckschen Garten, Weimar, Germany Across two lanes with lane boundary (sign 295) Sign 350 on the side, danger sign (101) in advance Urban area about 30 meters behind a curve 1 Study execution Study period: Conducted on two weekdays in June 2021 Timing: During peak traffic hours in Weimar city centre Preparation: Participants were briefed on the route Eye-tracking glasses were fitted, calibrated, and checked Researchers accompanied participants in the passenger seat Calibration checks: Conducted twice After the familiarisation phase (before the test) Midway through the journey, to ensure higher accuracy of eye-tracking data