SAILing CAVs: Speed-Adaptive Infrastructure-Linked Connected and Automated Vehicles (2310.06931v1)
Abstract: This work demonstrates a new capability in roadway control: Speed-adaptive, infrastructure-linked connected and automated vehicles. We develop and deploy a lightly modified vehicle that is able to dynamically adjust the vehicle speed in response to posted variable speed limit messages generated by the infrastructure using LTE connectivity. This work describes the open source hardware and software platform that enables integration between infrastructure-based variable posted speed limits, and existing vehicle platforms for automated control. The vehicle is deployed in heavy morning traffic on I-24 in Nashville, TN. The control vehicle follows the posted variable speed limits, resulting in as much as a 25% reduction in speed variability compared to a human-piloted vehicle in the same traffic stream.
- X.-Y. Lu and S. E. Shladover, “Review of variable speed limits and advisories: Theory, algorithms, and practice,” Transportation Research Record, vol. 2423, no. 1, pp. 15–23, 2014.
- S. P. Hoogendoorn, W. Daamen, R. G. Hoogendoorn, and J. W. Goemans, “Assessment of dynamic speed limits on freeway a20 near rotterdam, netherlands,” Transportation Research Record, vol. 2380, no. 1, pp. 61–71, 2013. [Online]. Available: https://doi.org/10.3141/2380-07
- M. Papageorgiou, E. Kosmatopoulos, and I. Papamichail, “Effects of variable speed limits on motorway traffic flow,” Transportation Research Record, vol. 2047, no. 1, pp. 37–48, 2008.
- J. Ma, X. Li, S. Shladover, H. A. Rakha, X.-Y. Lu, R. Jagannathan, and D. J. Dailey, “Freeway speed harmonization,” IEEE Transactions on Intelligent Vehicles, vol. 1, no. 1, pp. 78–89, 2016.
- R. Chen, T. Zhang, and M. W. Levin, “Effects of variable speed limit on energy consumption with autonomous vehicles on urban roads using modified cell-transmission model,” Journal of Transportation Engineering, Part A: Systems, vol. 146, no. 7, p. 04020049, 2020.
- Y. Han, D. Chen, and S. Ahn, “Variable speed limit control at fixed freeway bottlenecks using connected vehicles,” Transportation Research Part B: Methodological, vol. 98, pp. 113–134, 2017.
- B. Khondaker and L. Kattan, “Variable speed limit: A microscopic analysis in a connected vehicle environment,” Transportation Research Part C: Emerging Technologies, vol. 58, pp. 146–159, 2015.
- S. E. Shladover, D. Su, and X.-Y. Lu, “Impacts of cooperative adaptive cruise control on freeway traffic flow,” Transportation Research Record, vol. 2324, no. 1, pp. 63–70, 2012.
- M. Yu and W. D. Fan, “Optimal variable speed limit control in connected autonomous vehicle environment for relieving freeway congestion,” Journal of Transportation Engineering, Part A: Systems, vol. 145, no. 4, p. 04019007, 2019.
- Y. Li, H. Wang, W. Wang, S. Liu, and Y. Xiang, “Reducing the risk of rear-end collisions with infrastructure-to-vehicle (i2v) integration of variable speed limit control and adaptive cruise control system,” Traffic injury prevention, vol. 17, no. 6, pp. 597–603, 2016.
- K.-S. Chang, W. Li, P. Devlin, A. Shaikhbahai, P. Varaiya, J. Hedrick, D. McMahon, V. Narendran, D. Swaroop, and J. Olds, “Experimentation with a vehicle platoon control system,” in Vehicle Navigation and Information Systems Conference, 1991, vol. 2. IEEE, 1991, pp. 1117–1124.
- V. Milanés, S. E. Shladover, J. Spring, C. Nowakowski, H. Kawazoe, and M. Nakamura, “Cooperative adaptive cruise control in real traffic situations,” IEEE Transactions on intelligent transportation systems, vol. 15, no. 1, pp. 296–305, 2013.
- A. Alan, C. R. He, T. G. Molnar, J. C. Mathew, A. H. Bell, and G. Orosz, “Integrating safety with performance in connected automated truck control: Experimental validation,” IEEE Transactions on Intelligent Vehicles, 2023.
- F. Bai and H. Krishnan, “Reliability analysis of dsrc wireless communication for vehicle safety applications,” in 2006 IEEE intelligent transportation systems conference. IEEE, 2006, pp. 355–362.
- M. Jerbi, P. Marlier, and S. M. Senouci, “Experimental assessment of v2v and i2v communications,” in 2007 IEEE International Conference on Mobile Adhoc and Sensor Systems. IEEE, 2007, pp. 1–6.
- T. D. of Transportation, “Interstate 24 smart corridor.” [Online]. Available: https://www.tn.gov/tdot/projects/region-3/i-24-smart-corridor.html
- Y. Zhang, M. Quinones-Grueiro, W. Barbour, C. Weston, G. Biswas, and D. Work, “Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems,” in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3638–3644.
- M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Ng, “ROS: an open-source Robot Operating System,” in ICRA workshop on open source software, ser. 1, no. 3.2. Kobe, Japan: ICRA, 2009, p. 5.
- M. Bunting, R. Bhadani, and J. Sprinkle, “Libpanda: A high performance library for vehicle data collection,” in Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems, 2021, pp. 32–40.
- M. W. Nice, M. Bunting, J. Sprinkle, and D. Work, “Middleware for a heterogeneous cav fleet,” in 2023 5th Workshop on Design Automation for CPS and IoT (DESTION), 2023.
- S. Elmadani, M. Nice, M. Bunting, J. Sprinkle, and R. Bhadani, “From can to ros: A monitoring and data recording bridge,” in Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems, 2021, pp. 17–21.
- G. Gunter, M. Nice, M. Bunting, J. Sprinkle, and D. B. Work, “Experimental testing of a control barrier function on an automated vehicle in live multi-lane traffic,” in 2022 2nd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities Workshop (DI-CPS). IEEE, 2022, pp. 31–35.
- G. Gunter and D. Work, “Safe driving with control barrier functions in mixed autonomy traffic when cut-ins occur,” in 2022 European Control Conference (ECC), 2022, pp. 411–416.
- A. D. Ames, X. Xu, J. W. Grizzle, and P. Tabuada, “Control barrier function based quadratic programs for safety critical systems,” IEEE Transactions on Automatic Control, vol. 62, no. 8, pp. 3861–3876, 2016.
- A. D. Ames, S. Coogan, M. Egerstedt, G. Notomista, K. Sreenath, and P. Tabuada, “Control barrier functions: Theory and applications,” in 2019 18th European control conference (ECC). IEEE, 2019, pp. 3420–3431.
- R. Bhadani, M. Bunting, M. Nice, N. M. Tran, S. Elmadani, D. Work, and J. Sprinkle, “Strym: A python package for real-time can data logging, analysis and visualization to work with usb-can interface,” in 2022 2nd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities Workshop (DI-CPS). IEEE, 2022, pp. 14–23.
- R. E. Stern, S. Cui, M. L. Delle Monache, R. Bhadani, M. Bunting, M. Churchill, N. Hamilton, H. Pohlmann, F. Wu, B. Piccoli et al., “Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments,” Transportation Research Part C: Emerging Technologies, vol. 89, pp. 205–221, 2018.