I am currently studying mixed traffic scenarios involving both human-driven vehicles (HDVs) and connected-and-autonomous vehicles (CAVs)
In my research, I have identified four different headway types based on the types of preceding and following vehicles between HDVs and CAVs. I would like to apply these headway types to a VISSIM network without any deviations when I put much more vehicles than capacity.
I have successfully implemented the four headway types in a single-lane road simulation using VISSIM. However, I have encountered an issue when scaling up to a network with two or more lanes. In some cases, certain vehicles are observed to travel with longer headways than the ones I initially set.
I am seeking guidance on how to address this situation. To provide a clearer understanding of the problem, I have attached a photo for reference
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