Vehicle Dimensions and Driver Anthropometry in Ecuador: Dataset for Roadway Design and Safety Analysis

Research Hypothesis
The hypothesis underpinning this research is that vehicle design parameters and driver anthropometric diversity in Ecuador differ significantly from the assumptions used in international (AASHTO) and national (MTOP) roadway design standards. Such differences may affect sight distance calculations, geometric design parameters, and overall road safety.

Description of the Data
The dataset compiles detailed technical specifications of light vehicles available in the Ecuadorian market, including overall dimensions, wheelbase, front and rear overhangs, clearance, and chassis height. It also contains anthropometric data for Ecuadorian drivers, disaggregated by sex, ethnic group, and percentile, enabling the calculation of driver eye height from seat height and proportional body measurements.

Data Collection Methodology
Vehicle specifications were obtained from official manufacturer data sheets and technical inspection records. Anthropometric measurements were sourced from national population studies and academic research on the Ecuadorian population’s physical dimensions. Eye height estimates were calculated by combining vehicle seat height with anthropometric ratios. Standards from AASHTO and MTOP were used as reference benchmarks.

Notable Findings
-In several vehicle categories, measured eye heights are lower than those assumed in current roadway design guidelines.
-Anthropometric variability between ethnic groups and sexes results in substantial differences (up to ~30 cm) in eye height, which can impact visibility and sight distance design.
-Some vehicle models present geometric features (e.g., clearance, overhangs) that differ considerably from standard reference values, suggesting a need to revisit design assumptions for Ecuador’s vehicle fleet.

Interpretation and Use
-The dataset allows researchers, transportation engineers, and policymakers to:
-Compare real-world vehicle and driver dimensions with design standard assumptions.
-Assess potential impacts of anthropometric diversity on road design and safety.
-Support the development of updated, locally relevant design criteria.
-Conduct simulations for sight distance, clearance, and ergonomics using percentile-based driver dimensions.