Implementação de um modelo probabilísltico do tempo de resposta em interseções semaforizadas no VISSIM

Abstract

The main objective of this work is to implement, in the microscopic simulator VISSIM, a probabilistic model for the response time in signalized intersections. Based on data from a signalized approach of a signalized intersection located in Fortaleza, a statistical analysis of the response time by vehicle position in the queue and by traffic lane was initially conducted. This analysis led to the modeling of the response time by a log-normal probability distribution, which was implemented in VISSIM through Python programming. To assess the importance of this implementation, the results of delay, queue size and capacity were compared with the results of the simulations performed with the default modeling of VISSIM. The simulations executed with the probabilistic response time model resulted in higher delays and queue lengths and lower capacities than those obtained with the default modeling of the software.