Modelling Urban Traffic Configuration with the Influence of Human Factors.

Long vehicles queues at traffic signalized intersections are common elements on most urban roads. One of the causes of this problem is the configuration of installed traffic signals. The analysis of these configurations must consider human behavior, which is sometimes imprudent. Imprudence combined with poor signal configuration makes the waiting time on the road worse. Queuing theory is commonly used to represent traffic flow. This paper presents a queuing based model to evaluate traffic configurations with the inclusion of the parameters related to pedestrians and drivers simultaneously. An agent-based simulation is used to obtained results from the model with different human parameters. Comparisons show that when analyzing certain behaviors and characteristics of people, traffic performance, measured by waiting time, is affected.