TY - GEN
T1 - Investigating Lane-Free Traffic with a Dynamic Driving Simulator
AU - Sekeran, Maya
AU - Syed, Arslan Ali
AU - Lindner, Johannes
AU - Margreiter, Martin
AU - Bogenberger, Klaus
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85186502858&partnerID=8YFLogxK
U2 - 10.1109/ITSC57777.2023.10421947
DO - 10.1109/ITSC57777.2023.10421947
M3 - Conference contribution
AN - SCOPUS:85186502858
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 3417
EP - 3422
BT - 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Y2 - 24 September 2023 through 28 September 2023
ER -