  Connected and Automated Vehicles (CAVs) have received a lot of attention in
recent years. However, there are still numerous challenges in this field. In
this paper, we investigated the effects of dynamic-flexible platooning on
travel time by considering real-world trips data. For this purpose we extended
the platooning capabilities of the 3DCoAutosim simulation platform, and
proposed a dynamic-flexible model that we validated by creating use cases on
traffic efficiency. We studied our dynamic-flexible platooning case for three
electric vans with an autonomous leader, a semi-autonomous first follower with
a driver, and an autonomous last follower. Results showed that the model
developed in this study is efficient to investigate the effects of
dynamic-flexible platooning on travel time.
