Aplicação da modelagem microscópica para análise e melhoria do desempenho da interseção semaforizada da avenida Humberto Monte com avenida Jovita Feitosa

Abstract

The search for means that can reduce the low fluidity in the traffic of the big cities has become increasingly worrisome for the public managers, since with increasing vehicular fleet each year, congestion multiplies in several areas of the urban zone and this impacts directly or indirectly on the quality of life, economy and productivity of road users.In order to find scenarios that demonstrate better performance in their operations, without the need to make direct changes in the pathway, micro-simulation has proved to be a good tool in the decision-making process and in the cost-benefit relation of this solution. This research aims to evaluate interventions that aim to improve semaphoric performance at the intersection of Humberto Monte Avenues with Jovita Feitosa, which currently operate with three stages, through microsimulation. This intersection is located in the Pici neighborhood in the city of Fortaleza, Ceará. In order to reach this objective, problems of operation and fluidity were identified and characterized in the study area and sought solutions to improve the current scenario. Some data were collected in the field to enable the study, and for the calibration and validation of the model created in the VISSIM 9 PTV microsymuler. Data were also collected on the website of the Urban Transport Company of Fortaleza - ETUFOR and directly at CTAFOR, company responsible for the control of city traffic. In relation to the characterization of the problem, it was identified that in the intense flow schedules there are approximations with high queues and levels of delays. It was also found that the western approach is idle. It was also considered the fact of the occupation of the collective transport vehicles, in the concern that these vehicles, because of transporting a much larger number of passengers, were not hampered by possible increase of the distances of their routes in the studied section. Given this, 6 future scenarios were designed to improve the measures of performance delay, queue size, service level, speed and travel time. After the simulations, it was possible to obtain and compare these measures for each scenario and thus perceive the evolution of all of them, highlighting one of them.