Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
126 tokens/sec
GPT-4o
47 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy (2403.14011v1)

Published 20 Mar 2024 in eess.SY, cs.GT, and cs.SY

Abstract: In this study, we introduce a toll lane framework that optimizes the mixed flow of autonomous and high-occupancy vehicles on freeways, where human-driven and autonomous vehicles of varying commuter occupancy share a segment. Autonomous vehicles, with their ability to maintain shorter headways, boost traffic throughput. Our framework designates a toll lane for autonomous vehicles with high occupancy to use free of charge, while others pay a toll. We explore the lane choice equilibria when all vehicles minimize travel costs, and characterize the equilibria by ranking vehicles by their mobility enhancement potential, a concept we term the mobility degree. Through numerical examples, we demonstrate the framework's utility in addressing design challenges such as setting optimal tolls, determining occupancy thresholds, and designing lane policies, showing how it facilitates the integration of high-occupancy and autonomous vehicles. We also propose an algorithm for assigning rational tolls to decrease total commuter delay and examine the effects of toll non-compliance. Our findings suggest that self-interest-driven behavior mitigates moderate non-compliance impacts, highlighting the framework's resilience. This work presents a pioneering comprehensive analysis of a toll lane framework that emphasizes the coexistence of autonomous and high-occupancy vehicles, offering insights for traffic management improvements and the integration of autonomous vehicles into existing transportation infrastructures.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (24)
  1. C. M. Farmer, “Crash avoidance potential of five vehicle technologies,” Insurance Institute for Highway Safety, 2008.
  2. S. A. Bagloee, M. Tavana, M. Asadi, and T. Oliver, “Autonomous vehicles: challenges, opportunities, and future implications for transportation policies,” Journal of modern transportation, vol. 24, no. 4, pp. 284–303, 2016.
  3. B. Asadi and A. Vahidi, “Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time,” IEEE transactions on control systems technology, vol. 19, no. 3, pp. 707–714, 2010.
  4. L. Luo, H. Liu, P. Li, and H. Wang, “Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following,” Journal of Zhejiang University SCIENCE A, vol. 11, no. 3, pp. 191–201, 2010.
  5. I. H. Zohdy, R. K. Kamalanathsharma, and H. Rakha, “Intersection management for autonomous vehicles using icacc,” in 2012 15th international IEEE conference on intelligent transportation systems.   IEEE, 2012, pp. 1109–1114.
  6. A. Talebpour and H. S. Mahmassani, “Influence of connected and autonomous vehicles on traffic flow stability and throughput,” Transportation Research Part C: Emerging Technologies, vol. 71, pp. 143–163, 2016.
  7. J. Lioris, R. Pedarsani, F. Y. Tascikaraoglu, and P. Varaiya, “Platoons of connected vehicles can double throughput in urban roads,” Transportation Research Part C: Emerging Technologies, vol. 77, pp. 292–305, 2017.
  8. N. Mehr and R. Horowitz, “How will the presence of autonomous vehicles affect the equilibrium state of traffic networks?” IEEE Transactions on Control of Network Systems, vol. 7, no. 1, pp. 96–105, 2019.
  9. H. S. Mahmassani, “50th anniversary invited article—autonomous vehicles and connected vehicle systems: Flow and operations considerations,” Transportation Science, vol. 50, no. 4, pp. 1140–1162, 2016.
  10. L. Ye and T. Yamamoto, “Impact of dedicated lanes for connected and autonomous vehicle on traffic flow throughput,” Physica A: Statistical Mechanics and its Applications, vol. 512, pp. 588–597, 2018.
  11. J. Ivanchev, A. Knoll, D. Zehe, S. Nair, and D. Eckhoff, “A macroscopic study on dedicated highway lanes for autonomous vehicles,” in International Conference on Computational Science.   Springer, 2019, pp. 520–533.
  12. A. Talebpour, H. S. Mahmassani, and A. Elfar, “Investigating the effects of reserved lanes for autonomous vehicles on congestion and travel time reliability,” Transportation Research Record, vol. 2622, no. 1, pp. 1–12, 2017. [Online]. Available: https://doi.org/10.3141/2622-01
  13. Z. Zhong, “Assessing the effectiveness of managed lane strategies for the rapid deployment of cooperative adaptive cruise control technology,” 2018.
  14. Z. Liu and Z. Song, “Strategic planning of dedicated autonomous vehicle lanes and autonomous vehicle/toll lanes in transportation networks,” Transportation Research Part C: Emerging Technologies, vol. 106, pp. 381–403, 2019.
  15. L. Xiao, M. Wang, and B. van Arem, “Traffic flow impacts of converting an hov lane into a dedicated cacc lane on a freeway corridor,” IEEE Intelligent Transportation Systems Magazine, vol. 12, no. 1, pp. 60–73, 2019.
  16. Y. Guo and J. Ma, “Leveraging existing high-occupancy vehicle lanes for mixed-autonomy traffic management with emerging connected automated vehicle applications,” Transportmetrica A: Transport Science, vol. 16, no. 3, pp. 1375–1399, 2020.
  17. R. Li, P. N. Brown, and R. Horowitz, “A highway toll lane framework that unites autonomous vehicles and high-occupancy vehicles,” in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 3482–3489.
  18. J. G. Wardrop, “Some theoretical aspects of road traffic research,” in Proceedings of the Institution of Civil Engineers, Volume 1 Issue 3, 1952, pp. 325–362.
  19. S. W. Smith, Y. Kim, J. Guanetti, R. Li, R. Firoozi, B. Wootton, A. A. Kurzhanskiy, F. Borrelli, R. Horowitz, and M. Arcak, “Improving urban traffic throughput with vehicle platooning: Theory and experiments,” IEEE Access, vol. 8, pp. 141 208–141 223, 2020.
  20. R. Li, J. Liu, and R. Horowitz, “A game-theoretic model for aggregate lane choice behavior of highway mainline vehicles at the vicinity of on-ramps,” in 2020 American Control Conference (ACC).   IEEE, 2020, pp. 5376–5381.
  21. U. B. O. P. Roads, “Traffic assignment manual,” US Department of Commerce, Washington, DC, 1964.
  22. D. A. Lazar, S. Coogan, and R. Pedarsani, “Capacity modeling and routing for traffic networks with mixed autonomy,” in Decision and Control (CDC), 2017 IEEE 56th Conference on, to appear, IEEE, 2017.
  23. D. Braess and G. Koch, “On the existence of equilibria in asymmetrical multiclass-user transportation networks,” Transportation Science, vol. 13, no. 1, pp. 56–63, 1979.
  24. J. Kiefer, “Sequential minimax search for a maximum,” Proceedings of the American Mathematical Society, vol. 4, no. 3, pp. 502–506, 1953. [Online]. Available: http://www.jstor.org/stable/2032161

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now
X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets