Estimación de coeficientes de fricción de vehículos en superficies utilizando drones-UAS

Abstract

Within the methodological process carried out in the reconstruction of traffic accidents, it is necessary to determine the coefficients of deceleration or friction to be used, depending on the case, to objectively establish the traffic speeds of the vehicles involved, taking into account: the type of vehicle, surface and geometry of the roadway and its condition; To this end, researchers in the field have carried out experiments since the 1970s in order to establish these coefficients for various situations. The most commonly used methods take up the statistical analysis of data obtained through measurements made in the field, technological tools such as digital accelerometers or images processed with video cameras. The purpose of this work was to demonstrate that the accuracy of the data obtained from the video images taken by a DJI Mavic Pro Unmanned Aerial Vehicle and processed in Tracker ® educational software can be compared with the information recorded with a VC4000 digital accelerometer, being The first solution is an option with a rationally lower cost, with a rate of obtaining information that is higher than the second, and with a versatility to execute scenarios that is notoriously superior. 122 braking tests without wheel lock were carried out on two motorcycles under controlled conditions whose maneuvers were recorded on video by means of an Unmanned Aerial Vehicle at a height of 32 meters and the angular video camera of an IPhone 13 Pro phone from the ground; that allowed to determine that the data obtained from the UAV with respect to the information acquired by the VC4000 accelerometer do not contain significant differences and that this solution is viable to be applied to other scenarios that require estimating other types of friction / deceleration coefficients.