A Simulation and Analysis of an Existing Petri Net Traffic Intersection Model

Abstract

Petri Nets are a strong methodology to use for  mathematical and visual representations of systems. The previous study demonstrated the creation of traffic intersections (single and two connected) through the use of Petri Nets. With this research, our main goal was to recreate the results to test the efficiency and accuracy of the model. Using the PIPE software, we created multiple Petri Net models that resemble the traffic intersection of our choosing. This data was accessed through the Virginia Beach Database that would provide us with information we required to model the Petri Net as close to the real intersection as possible. Observing the results of our model simulation, we cannot fully say that the model we have replicated is most recommended to an expectation of real-world outcomes. We have, however, come to discover the factors that have the largest impact on the efficiency of the traffic intersection. Creating a Petri Net model with this scope would provide insight into design considerations for an optimal application.

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Parallel Computing and Machine Learning for Binary Classification