Review of Connected Autonomous Vehicles Platooning: Technologies, Challenges, and Future Directions

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The introduction of Connected Autonomous Vehicles (CAVs) is bringing a significant transformation in the field of transportation, presenting unparalleled prospects for enhancing road safety, mitigating traffic congestion, and optimizing energy efficiency. Platooning, as one of the pioneering applications of Connected and Autonomous Vehicles, emerges as a very promising approach to enhance traffic flow and mitigate ecological consequences. This review examines the integration of advanced technology and the multifaceted obstacles associated with CAV platooning. Commencing with a comprehensive examination of the fundamental technologies involved, such as sensor fusion, vehicle-to-vehicle communication, and artificial intelligence algorithms, this article explores the essential elements that facilitate the smooth coordination of CAV platoons.

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65-78

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July 2024

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© 2024 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. T. Emirler, I. Uygan, B. Güvenç and L. Guvenc, "Robust PID Steering Control in Parameter Space for Highly Automated Driving," International Journal of Vehicular Technology, no. 10.1155/2014/259465, pp.1-8, 2014.

DOI: 10.1155/2014/259465

Google Scholar

[2] J. J. Cerutti, G. Cafiero and G. Iuso, "Aerodynamic drag reduction by means of platooning configurations of light commercial vehicles: A flow field analysis," International Journal of Heat and Fluid Flow, vol. 90, no. 108823, 2021.

DOI: 10.1016/j.ijheatfluidflow.2021.108823

Google Scholar

[3] J. Toernell, "Aerodynamics of Vehicle Platooning," Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Göteborg, Sweden, 2023.

Google Scholar

[4] B. J. Bart van Arem and M. van Noort, "Smarter and better - the advantages of intelligent traffic. Technical Report 2008-D-R0996/A-S," TNO, Delft, 2008.

Google Scholar

[5] C. Bergenhem, H. Pettersson, E. Coelingh, C. Englund, S. Shladover and S. Tsugawa, "Overview of Platooning Systems," in 19th ITS World Congress, Vienna, Austria, 2012.

Google Scholar

[6] J. Guanetti, Y. Kim and F. Borrelli, "Control of connected and automated vehicles: State of the art and future challenges," Annual Reviews in Control, vol. 45, pp.18-40, 2018.

DOI: 10.1016/j.arcontrol.2018.04.011

Google Scholar

[7] C. Chen, J. Jiang, N. Lv and S. Li, "An Intelligent Path Planning Scheme of Autonomous Vehicles Platoon Using Deep Reinforcement Learning on Network Edge," IEEE Access, vol. 8, pp.99059-99069, 2020.

DOI: 10.1109/access.2020.2998015

Google Scholar

[8] M. Martínez-Díaz, C. Al-Haddad, F. Sorigueraa, and C. Antoniou, "Platooning of connected automated vehicles on freeways: a bird's eye view," in 14th Conference on Transport Engineering, Burgos, Spain, 2021.

DOI: 10.1016/j.trpro.2021.11.064

Google Scholar

[9] O. Sawade and I. Radusch, "Survey and Classification of Cooperative Automated Driver Assistance Systems," in IEEE 82nd Vehicular Technology Conference, Boston, 2015.

DOI: 10.1109/vtcfall.2015.7391161

Google Scholar

[10] SAE International, "Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles - J3016_202104," 30 04 2021. [Online]. Available: https://www.sae.org/standards/content/j3016_202104/. [Accessed 14 10 2023].

DOI: 10.3403/30443080

Google Scholar

[11] J. Hou, G. Chen, J. Huang, Y. Qiao, L. Xiong, F. Wen, A. Knoll and C. Jiang, "Large-Scale Vehicle Platooning: Advances and Challenges in Scheduling and Planning Techniques," Engineering, 2023.

DOI: 10.1016/j.eng.2023.01.012

Google Scholar

[12] A. Wasserburger, A. Schirrer and C. Hametner, "Stochastic Optimisation for the Design of Energy-Efficient Controllers for Cooperative Truck Platoons," International Journal of Intelligent Transportation Systems Research, vol. 20, pp.398-408, 2022.

DOI: 10.1007/s13177-022-00294-5

Google Scholar

[13] A. Katsanikakis and C. P. Andreas Katsanikakis, "Design and Implementation of an EnergyEfficient Vehicle Platoon Control Algorithm Using Prescribed Performance and Extremum Seeking Control," Applied Sciences, vol. 13, no. 5650, 2023.

DOI: 10.3390/app13095650

Google Scholar

[14] T. Robinson, E. Chan and E. Coelingh, "Operating Platoons On Public Motorways: An Introduction To The SARTRE Platooning Programme," 2010. [Online]. Available: https://trimis.ec.europa.eu/sites/default/files/project/documents/20130204_115555_41712_ SARTRE_ConferencePaper2.pdf. [Accessed 13 10 2023].

Google Scholar

[15] C. Bergenhem, Q. Huang, A. Benmimoun and T. Robinson, "Challenges of Platooning on Public Motorways," [Online]. Available: https://trimis.ec.europa.eu/sites/default/files/project/documents/20130204_115543_96121_ SARTRE_ConferencePaper1.pdf. [Accessed 13 10 2023].

Google Scholar

[16] F. Browand, J. McArthur and C. Radovich, "Fuel Saving Achieved in the Field Test of Two Tandem Trucks," PATH Research Report.

Google Scholar

[17] J. Ploeg, S. Shladover, H. Nijmeijer and N. van de Wouw, "Introduction to the Special Issue on the 2011 Grand Cooperative Driving Challenge," IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 3, 2012.

DOI: 10.1109/tits.2012.2210636

Google Scholar

[18] T. Nguyen, M. Xie, X. Liu, N. Arunachalam, A. Rau, B. Lechner, F. Busch and Y. D. Wong, "Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay," Sustainability, vol. 11, 2019.

DOI: 10.3390/su11195237

Google Scholar

[19] Eclipse, "Simulation of Urban MObility," [Online]. Available: https://eclipse.dev/sumo/.

Google Scholar

[20] McTrans Center, "Traffic Software Integrated System - Corridor Simulation," [Online]. Available: https://mctrans.ce.ufl.edu/tsis-corsim/. [Accessed 14 10 2023].

Google Scholar

[21] MathWorks, "Truck Platooning Using Vehicle-to-Vehicle Communication," [Online]. Available: https://www.mathworks.com/help/driving/ug/truck-platooning-using-vehicle-tovehicle-communication.html.

DOI: 10.5220/0006302402280235

Google Scholar

[22] MathWorks, "Truck Platooning with RoadRunner Scenario," [Online]. Available: https://www.mathworks.com/help/driving/ug/truck-platooning-with-roadrunnerscenario.html.

Google Scholar

[23] D. Monaco, "Like trains, but on the motorway: here is "truck platooning"," InfraJournal

Google Scholar

[24] L. Cao and H. Yin, "Resource Allocation for Vehicle Platooning in 5G NR-V2X via Deep Reinforcement Learning," ArXiv, vol. 2101.10424, 2021.

DOI: 10.1109/blackseacom52164.2021.9527765

Google Scholar

[25] M. Tobar and E. Martinez, "ENSEMBLE regulatory framework - state of the art," European Commission, 2019.

Google Scholar

[26] Mormedi, "1O1, a new modular autonomous vehicle concept that challenges the future of urban mobility," [Online]. Available: https://www.mormedi.com/projects/1-o1-a-newmodular-autonomous-vehicle-concept-that-will-change-the-future-of-urban-mobility.

Google Scholar

[27] The Engineering Tool Box, "Drag Coefficient," 2004. [Online]. Available: https://www.engineeringtoolbox.com/drag-coefficient-d_627.html. [Accessed 13 10 2023].

Google Scholar

[28] Chalmers University of Technology, "Kooperativ körning - Grand Cooperative Driving Challenge 2011," 21 11 2012. [Online]. Available: https://news.cision.com/se/chalmers/ i/kooperativ-korning---grand-cooperative-driving-challenge-2011,c15960225. [Accessed 13 10 2023].

Google Scholar

[29] A. Geiger, M. Lauer, F. Moosmann, B. Ranft, H. Rapp, C. Stiller and J. Ziegler, "Team AnnieWAY's entry to the Grand Cooperative Driving Challenge 2011," 2011. [Online]. Available: https://www.cvlibs.net/publications/Geiger2012TITS.pdf. [Accessed 15 10 2023].

DOI: 10.1109/tits.2012.2189882

Google Scholar