Analysis of the effect of probabilistic response time at microsimulated intersections in AIMSUN
DOI:
https://doi.org/10.58922/transportes.v33.e3062Keywords:
Response time. Signalized intersections. Microsimulation. AIMSUN.Abstract
Signalized intersections are critical points in road infrastructure, often prone to congestion and accidents due to capacity limitations and traffic conflicts. Driver response time (RT), especially when prolonged, is a behavioral variable that affects traffic performance at these locations, contributing to increased delays and reduced road capacity. This study aimed to model and analyze the impact of drivers’ RT on traffic flow at signalized intersections using the AIMSUN microsimulation software. The methodology involved collecting RT and headway data at an intersection in Fortaleza, modeling the RT probability distribution, and implementing it in the simulator. Different scenarios were simulated by varying vehicle demand and RT to assess their impacts on average delay, v/c ratio, saturation flow, and the capacity of signalized approaches. The results showed that the log-normal distribution was the best fit to the RT data. Probabilistic modeling of RT in AIMSUN showed that the RT of the first vehicle in the queue (RT1) was higher than that of the subsequent vehicles. Incorporating probabilistic RT modeling increased delays and reduced capacity compared to the default model. The study highlights that probabilistic RT modeling affects the flow of microsimulated signalized intersections, particularly under more saturated traffic conditions.
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