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

Semi-Autonomous Electric Vehicles in Platooning Mode and Their Effects on Travel Time: A Framework for Simulation Evaluation