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A Microsimulation Comparison For Lane-Merging Driver Behaviors
Virtual Program Session
DescriptionDriving behaviors have been widely studied with various microscopic simulations, however, little attention is paid to how different microscopic simulation environments measure the same human driving behaviors. To this end, we compared aggregate human driving behaviors for two microscopic simulators, SUMO and PTV Vissim, in two scenarios of merging, the zipper merge and early merge. We used standard embedded driver and traffic models for both microscopic simulators. Results showed the two simulators were generally equivalent in computational resource demand but produced delay estimates that were not consistent with each other, or internally. Another finding is that SUMO produced more variability than PTV Vissim, which may be an advantage when representing human behavior uncertainty. Ultimately, the choice of simulation environment depends on the research question, monetary costs, as well as human costs of development.