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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset
Data sources: ZENODO
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Speed and lateral position dataset from cyclists and e-scooter riders on an experimental test track

Authors: Fonseca Cabrera, Alejandra Sofía; Al-Hakeem, Mustafa Salah Abdulhussein; Llopis Castelló, David; Garcia, Alfredo; Just Martínez, Víctor;

Speed and lateral position dataset from cyclists and e-scooter riders on an experimental test track

Abstract

This dataset contains speed and lateral position data of micromobility users while negotiating horizontal curves with a radius of 5 m and different deflection angles. Data were collected on a 200-m-long test track consisting of a dedicated bike lane. For each user and curve, speed and lateral position were recorded at five characteristic points along the curve: Point of Curvature (PC); Intermediate Point 1 (INT1); Midpoint (MP); Intermediate Point 2 (INT2); and Point of Tangency (PT). Each user completed five individual observations. A repeatability analysis was conducted to select the most representative observation for each user. Repeatability was quantified using the user-specific repeatability ratio (Ratio_u), defined as the ratio between intra-user and inter-user variability. The deflection angle of each curve is as follows: Curve 1: 90° Curve 2: 45° Curve 3: 30° Curve 4: 75° Curve 5: 105° Curve 6: 30° Curve 7: 60° Curve 8: 75° The dataset includes the following variables: Type of user (ToU): bicycle or scooter. Direction of turn (ToC): right or left. Curve ID: curve identifier (1–8). Gender: male or female. Ratio: user-specific repeatability ratio (Ratio_u), defined as the ratio between intra-user and inter-user variability. Repeatability method: method used to select the representative observation (mean, median, or closest_to_centroid). Measure: variable reported, where V represents speed (km/h) and d represents lateral position (cm).

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