Abstract
Different strategies have been proposed to date to coordinate autonomous, connected vehicles in crossing an isolated intersection, and their performances analysed. However, few works assess what happens in a network of intersections each managed with a different strategy, a situation likely to occur during the transitory phase when not all intersections in a network can (or are worth to) be equipped with a dedicated computational infrastructure to apply a specific strategy. Accordingly, we analyse the impact of combining different strategies in an intersections network. The key result we achieve is that, even in the presence of a few intersections managed by strategies different from currently mainstream ones (such as traffic lights or precedence), significant improvements to global traffic are measured.
Work supported by the Italian MIUR PRIN 2017 Project “Fluidware”.
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References
Abeywickrama, D.B., Mamei, M., Zambonelli, F.: Engineering collectives of self-driving vehicles: the SOTA approach. In: Leveraging Applications of Formal Methods, Verification and Validation. Lecture Notes in Computer Science, vol. 11246, pp. 79–93. Springer (2018)
Cabri, G., Gherardini, L., Montangero, M.: Auction-based crossings management. In: Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, GoodTechs ’19, pp. 183–188. ACM, New York (2019). https://doi.org/10.1145/3342428.3342689
Camurri, M., Mamei, M., Zambonelli, F.: Urban traffic control with co-fields. In: Environments for Multi-Agent Systems III, Third International Workshop, E4MAS 2006, Hakodate, Japan, May 8, 2006, Selected Revised and Invited Papers. Lecture Notes in Computer Science, vol. 4389, pp. 239–253. Springer (2006)
Carlino, D., Boyles, S.D., Stone, P.: Auction-based autonomous intersection management. In: 2013 16th International IEEE Conference on Intelligent Transportation Systems-(ITSC), pp. 529–534. IEEE (2013)
Desai, P., Loke, S.W., Desai, A., Singh, J.: Caravan: Congestion avoidance and route allocation using virtual agent negotiation. IEEE Trans. Intell. Transp. Syst. 14(3), 1197–1207 (2013)
Dresner, K., Stone, P.: Sharing the road: autonomous vehicles meet human drivers. In: Proceedings of the 20th International Joint Conference on Artifical Intelligence, pp. 1263–1268. Morgan Kaufmann Publishers Inc (2007)
Dresner, K., Stone, P.: A multiagent approach to autonomous intersection management. J. Artif. Intell. Res. 31, 591–656 (2008)
Fagnant, D.J., Kockelman, K.: Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. Part A: Policy Practic. 77, 167–181 (2015)
Levin, M.W., Boyles, S.D., Patel, R.: Paradoxes of reservation-based intersection controls in traffic networks. Transp. Res. Part A: Policy Practic. 90, 14–25 (2016)
Menon, N., Barbour, N., Zhang, Y., Pinjari, A.R., Mannering, F.: Shared autonomous vehicles and their potential impacts on household vehicle ownership: an exploratory empirical assessment. Int. J. Sustain. Transp. 1–12 (2018)
Qian, G., Guo, M., Zhang, L., Wang, Y., Hu, S., Wang, D.: Traffic scheduling and control in fully connected and automated networks. Transp. Res. Part C: Emerg. Technol. 126, 103011 (2021)
Rios-Torres, J., Malikopoulos, A.: A survey on the coordination of connected and automated vehicles at intersections and merging at highway on-ramps. IEEE Trans. Intell. Transp. Syst. 18(5), 1066–1077 (2017). https://doi.org/10.1109/TITS.2016.2600504
Röth, T., Pielen, M., Wolff, K., Lüdiger, T.: Urban vehicle concepts for the shared mobility. ATZ worldwide 120(1), 18–23 (2018). https://doi.org/10.1007/s38311-017-0163-4
Sassi, A., Zambonelli, F.: Coordination infrastructures for future smart social mobility services. IEEE Intell. Syst. 29(5), 78–82 (2014). https://doi.org/10.1109/MIS.2014.81
Slager, G., Milano, M.: Urban traffic control system using self-organization. In: 13th International IEEE Conference on Intelligent Transportation Systems, pp. 255–260 (2010). https://doi.org/10.1109/ITSC.2010.5625236
SUMO Development Team: Sumo Documentation. https://sumo.dlr.de/docs/SUMO_at_a_Glance.html
Tonguz, O.K.: Red light, green light–no light: tomorrow’s communicative cars could take turns at intersections. IEEE Spectr. 55(10), 24–29 (2018). https://doi.org/10.1109/MSPEC.2018.8482420
Vasirani, M., Ossowski, S.: A market-inspired approach for intersection management in urban road traffic networks. J. Artif. Int. Res. 43(1), 621–659 (2012)
Zhang, Y.J., Malikopoulos, A.A., Cassandras, C.G.: Optimal control and coordination of connected and automated vehicles at urban traffic intersections. In: 2016 American Control Conference (ACC), pp. 6227–6232 (2016). https://doi.org/10.1109/ACC.2016.7526648
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Gambelli, M., Mariani, S., Cabri, G., Zambonelli, F. (2022). Combining Coordination Strategies for Autonomous Vehicles in Intersections Networks. In: Camacho, D., Rosaci, D., Sarné, G.M.L., Versaci, M. (eds) Intelligent Distributed Computing XIV. IDC 2021. Studies in Computational Intelligence, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-96627-0_14
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DOI: https://doi.org/10.1007/978-3-030-96627-0_14
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