Please use this identifier to cite or link to this item: http://repositorio.ugto.mx/handle/20.500.12059/13727
Title: Truck Axle Weights and Interaxle Spacings from Traffic Surveys in Mexican Highways
Authors: García-Soto, Adrián David
Pozos-Estrada, Adrián
Hernández-Martínez, Alejandro
Valdés-Vázquez, Jesús Gerardo
Abstract: In structural and bridge engineering, the axle weights and interaxle spacings of heavy trucks are useful for assessing the capacity of existing bridges, developing live load models, and other issues. Weigh-in-motion data have become the most common source for recording axle weights and interaxle spacings; however, information is not as direct and may not be as precise as that from static surveys. Surveying vehicles by stopping them beside the highway is not common nowadays; nevertheless, surveys provide very reliable information on truck axle weights and interaxle spacing. In this study, data from three surveys on two Mexican highways recorded in 2016 and 2018 are provided. The data contain the gross vehicular weights, axle weights, and interaxle spacings of heavy trucks. The discussion is given as to how the provided information can be useful for the bridge and transportation engineering community and for reliability and code calibration tasks for Mexican bridges and a future design code for bridges in Mexico City. It is concluded that statistical values are consistent with WIM data, with differences due to different methods used, recording time, samples size and others, and that trucks heavier than the legal weight circulate in Mexican highways; static surveys are useful to strongly support this important issue. Further research to compare samples from different surveying techniques, as well as the use of the information to investigate load effects on bridges, is recommended.
Issue Date: 4-Jul-2025
Publisher: MDPI
License: http://creativecommons.org/licenses/by/4.0
URI: http://repositorio.ugto.mx/handle/20.500.12059/13727
Language: eng
Appears in Collections:Documentos indizados en bases de datos

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