Modelos de velocidad en calles urbanas previo a intersecciones semaforizadas

Abstract

The election of speed is complex task because of influence factors related with the vehicle, the streets, the driver, and the environment. In some cases, this speed exceeds the design speed of the street, which increases the probability of accidents. The operation speed can be obtained through data collection in field or prediction equations. In the country, these last still have not been calibrated; therefore, the objective this research was to calibrate speed models on urban streets previous to signalized intersections. It is so, in the City of Loja, was collected speed data of 45 drivers using the measuring equipment Garmin Dash Cam 20, in 12 sections. With those records were processed for later analyze their behavior and finally were calibrated and validated several models of speed, acceleration and deceleration. The density of objects was variable statistically more significant over the speed in the red light and for the acceleration it was the initial speed, in green and red light. This study serves to predict the operating speed for the design of infrastructure of urban streets.