Simulation-based Analysis of a Novel Loop-based Road Topology for Autonomous Vehicles
Abstract: The challenges in implementing SAE Level 4/5 autonomous vehicles are manifold, with intersection navigation being a pervasive one. We analyze a novel road topology invented by a co-author of this paper, Xiayong Hu. The topology eliminates the need for traditional traffic control and cross-traffic at intersections, potentially improving the safety of autonomous driving systems. The topology, herein called the Zonal Road Topology, consists of unidirectional loops of road with traffic flowing either clockwise or counter-clockwise. Adjacent loops are directionally aligned with one another, allowing vehicles to transfer from one loop to another through a simple lane change. To evaluate the Zonal Road Topology, a one km2 pilot-track near Changshu, China is currently being set aside for testing. In parallel, traffic simulations are being performed. To this end, we conduct a simulation-based comparison between the Zonal Road Topology and a traditional road topology for a generic Electric Vehicle (EV) using the Simulation for Urban MObility (SUMO) platform and MATLAB/Simulink. We analyze the topologies in terms of their travel efficiency, safety, energy usage, and capacity. Drive time, number of halts, progress rate, and other metrics are analyzed across varied traffic levels to investigate the advantages and disadvantages of the Zonal Road Topology. Our results indicate that vehicles on the Zonal Road Topology have a lower, more consistent drive time with greater traffic throughput, while using less energy on average. These results become more prominent at higher traffic densities.
- M. Martínez-Díaz and F. Soriguera, “Autonomous vehicles: theoretical and practical challenges,” Transportation Research Procedia, vol. 33, pp. 275–282, 2018. XIII Conference on Transport Engineering, CIT2018.
- “Automatic emergency braking with pedestrian detection,” tech. rep., American Automobile Association, Inc., 2019.
- E.-H. Choi, Crash Factors in Intersection-Related Crashes: An On-Scene Perspective. U.S. Department of Transportation, National Highway Traffic Safety Administration, 2010.
- S. M. Loos and A. Platzer, “Safe intersections: At the crossing of hybrid systems and verification,” in 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 1181–1186, 2011.
- M.-k. Shi, H. Jiang, and S.-h. Li, “An intelligent traffic-flow-based real-time vehicles scheduling algorithm at intersection,” in 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 1–5, 2016.
- R. Azimi, G. Bhatia, R. R. Rajkumar, and P. Mudalige, “Stip: Spatio-temporal intersection protocols for autonomous vehicles,” in 2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pp. 1–12, 2014.
- R. Elvik, “Road safety effects of roundabouts: A meta-analysis,” Accident Analysis & Prevention, vol. 99, pp. 364–371, 2017.
- H. Göçmen Demir and Y. K. Demir, “A comparison of traffic flow performance of roundabouts and signalized intersections: A case study in nigde,” The Open Transportation Journal, vol. 14, pp. 120–132, 07 2020.
- L. Zhou, L. Zhang, and C. S. Liu, “Comparing roundabouts and signalized intersections through multiple- model simulation,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7931–7940, 2022.
- Federal Highway Administration, 2015.
- D. Jen, “Dedicated self-driving truck lane to open in japan,” Civil Engineering Magazine, January 2024.
- S. He, F. Ding, C. Lu, and Y. Qi, “Impact of connected and autonomous vehicle dedicated lane on the freeway traffic efficiency,” European Transport Research Review, vol. 14, 12 2022.
- Y. Chen, H. Zhang, D. Wang, and J. Wang, “Overall influence of dedicated lanes for connected and autonomous vehicles on freeway heterogeneous traffic flow,” Journal of Advanced Transportation, vol. 2022, pp. 1–15, 08 2022.
- X. Hu, “One-way loop mosaicking for higher transportation capacity and safety,” U.S. Patent 0404123, Dec. 30, 2021.
- F. Duarte, “Self-driving cars: A city perspective,” Science Robotics, vol. 4, 03 2019.
- P. A. Lopez, M. Behrisch, L. Bieker-Walz, J. Erdmann, Y.-P. Flötteröd, R. Hilbrich, L. Lücken, J. Rummel, P. Wagner, and E. Wiessner, “Microscopic traffic simulation using sumo,” in 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 2575–2582, 2018.
- M. S. M. Al-Dabbagh, A. Al-Sherbaz, and S. Turner, “The impact of road intersection topology on traffic congestion in urban cities,” in Intelligent Systems and Applications (K. Arai, S. Kapoor, and R. Bhatia, eds.), (Cham), pp. 1196–1207, Springer International Publishing, 2019.
- Statewide Urban Design and Specifications Program, 2023.
- L. J.A. and L. J., “A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic,” Philosophical Transactions of The Royal Society, vol. 368, 2010.
- R. Oertel and P. Wagner, “Delay-time actuated traffic signal control for an isolated intersection,” in Proceedings 90st Annual Meeting Transportation Research Board (TRB), 01 2011.
- I. Sagaama, A. Kchiche, W. Trojet, and F. Kamoun, “Evaluation of the energy consumption model performance for electric vehicles in sumo,” in 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), pp. 1–8, 2019.
- F. Adegbohun, A. von Jouanne, B. Phillips, E. Agamloh, and A. Yokochi, “High performance electric vehicle powertrain modeling, simulation and validation,” Energies, vol. 14, no. 5, 2021.
- C. J. Beckers, I. J. Besselink, and H. Nijmeijer, “Assessing the impact of cornering losses on the energy consumption of electric city buses,” Transportation Research Part D: Transport and Environment, vol. 86, p. 102360, 2020.
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