Citas bibligráficas
Merino, R., (2023). Análisis de la estimación de accidentes en la seguridad vial, mediante la calibración del método predictivo, para la vía Cusco – Puente Cunyac en base al Highway Safety Manual –año 2021 [Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/6025
Merino, R., Análisis de la estimación de accidentes en la seguridad vial, mediante la calibración del método predictivo, para la vía Cusco – Puente Cunyac en base al Highway Safety Manual –año 2021 []. PE: Universidad Andina del Cusco; 2023. https://hdl.handle.net/20.500.12557/6025
@mastersthesis{renati/22978,
title = "Análisis de la estimación de accidentes en la seguridad vial, mediante la calibración del método predictivo, para la vía Cusco – Puente Cunyac en base al Highway Safety Manual –año 2021",
author = "Merino Yépez, Robert Milton",
publisher = "Universidad Andina del Cusco",
year = "2023"
}
This research thesis results from the analysis of the HSM methodology to predict accidents on the PE-3S national highway Puente Cunyac - Cusco section whose length is 92Km, where once the accident rate information for 15 years has been obtained, with type, cause, location, date of occurrence, in addition to the collection of primary and secondary data to determine the road geometry and the characteristics of the environment, each specific procedure explained in part C of the manual was investigated in detail, as it corresponds to the roads of a road with two lanes with vehicular flow in both directions. With the accident rate data, descriptive statistical data was generated, identifying tables showing the relationship of progressives with greater accident rate and in correspondence with a cause not identified in the accident records such as non-compliance with the geometric design with respect to maximum tangents in a sector. and minimal in another, these statistical data defined the sections with the highest accident rate to study. Based on the requirement and recommendation of the HSM, the field data was analyzed to define the sections to be sectored in the 92 km of study, according to HSM recommendations, and they are those where the homogeneity of the road changes due to some detail. mainly between intersections; In this case, sections homogenized by “Orography”, “by level of accident rate”, and “sections with homogeneous IMD” were generated. The highway in its Puente Cunyac -Cusco section was homogenized by orography into three sections of orography 1, 3 and 2; Then, the sections homogenized by IMDA were six, which results based on the years with which the data is available, then based on the statistical analysis of accidents, two sectors generating the greatest number of accidents were defined. The HSM predictive equation variables are analyzed: a) consisting of the calculation of the SPF, which basically depends on the IMDA and length of the section, b) the 12 CMF corresponding to 12 details such as: Lane width, shoulder, Spiral in curves, superelevation, road slope, number of entrances, audible center line, overtaking lane, left turning lane, shoulder conditions, lighting and automatic speed control system, and c) the calibration factor obtained from the relationship of the sum of the number of accidents observed with the sum of the number of accidents expected in the study period. With this information, the predictive procedure consisting of the 18 steps shown in the HSM manual was carried out; For the sections differentiated by IMDA (six sections or sectors and two important intersections), the HSM's own Excel version 3.1 was used. Then, in the most critical section due to the high accident rate that occurred corresponding to Km 890 to Km 892 (30 km), the analysis was carried out according to its geometric details, using the manual analysis method considering the accidents observed by year of occurrence. According to the calculations carried out both in Excel from the HSM and manual calculations of the detailed procedure described in this thesis, results were obtained that indicate calibration factors that mostly overestimate the accident rate, with respect to the accidents observed, obtaining values of Cr of 0.55, 0.25, 1.75, 0.14, 0.24 and 0.48, for the six sections studied and verifying the section with the highest accident rate.
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