Investigating Lane-Free Traffic with a Dynamic Driving Simulator

Lane-free traffic (LFT) is a new traffic system that relies on connected and automated vehicles (CAV) to increase road capacity and utilization by removing traditional lane markings using coordinated maneuvering of CAVs in LFT strategies. LFT is based on two main principles: upstream nudging and vehicles moving without adhering to any lane markings. By leveraging CAV capabilities to communicate and exchange information, LFT represents a promising future traffic system. While current research uses LFT simulations in two-dimensional space, driving simulators are necessary to investigate human behavior and perceived safety in LFT. This paper proposes a conceptual framework for LFT driving simulations and describes the assumptions, requirements, and recent technological developments that make it possible to investigate the human perspective and acceptance of LFT. Additionally, we propose a scenario matrix that can act as a test guide to building driving simulation scenarios for the LFT.