This study develops a safety evaluation method for heavy trucks on ramps using GPS data, indicating design consistency insights.
In order to more scientifically and objectively reflect the actual operating conditions of heavy trucks on interchange ramps and evaluate their driving safety from the perspective of design consistency, this study employed full subset regression and stepwise multivariate regression methods to develop a heavy-truck operating speed model based on high-frequency GPS data collected on interchange ramps. Building upon the speed model and vehicle dynamics, lateral acceleration prediction models for heavy trucks were developed, and a lateral acceleration interference model for ramp curve sections was constructed based on acceleration interference theory. Accordingly, a safety evaluation method for heavy trucks on interchange ramps was proposed. This method was applied in a case analysis using actual geometric parameters from four interchange ramps. The findings offer theoretical support for alignment consistency design, safety evaluation, and the planning of traffic safety facilities on interchange ramps.
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Zhang et al. (2025) studied this question.
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