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This study presents a comparison of three methods: VC4000PC accelerometer, Sensor Kinetics mobile app, and video analysis by Tracker (free software). The methods have been compared experimentally for emergency braking with locked wheels, as well as using the antilock braking system (ABS). Data from the three methods were recorded simultaneously. Data analysis was made, applying inferential statistics. The results from the analysis of variance (ANOVA) and precision analysis indicate that data collected with the smartphone app ensures good accuracy and does not provide significant differences in comparison with the accelerometer, while the video analysis method showed some statistical differences. The regression analysis yielded an estimation coefficient R2 close to 1, and a residual standard error (RSE) being almost 0, for all experiments, parameters that indicated a good linear regression for both low-cost methods as a function of the accelerometer.

A free access tool based on a pedestrian-vehicle collision model is presented. The model allows for the qualitative and quantitative description of the entire dynamics of an event through pre-collision, collision, and post-collision segments. Furthermore, it enabled the determination of the magnitude of the initial speed of the vehicle before collision with a pedestrian and the location of the point of impact on the road where the accident occurred. The model inputs correlate to evidence collected at the scene, providing a platform checklist to assist investigators in their fieldwork. Additionally, the pre-collision segment allowed the investigators to develop an avoidability study to evaluate road safety. The model was validated by comparing the results with experimental cases developed with dummies, bodies, and reconstructed cases using statistical methods. It is shown that there is no significant difference, thus verifying its functionality.