Mohamed, Y.Gol, M.Kabbani, T.Ghazali, M.Demir, A.Sangani, A.S.A.Rodoplu, K.2024-09-112024-09-1120232352-1457https://doi.org/10.1016/j.trpro.2023.11.513https://hdl.handle.net/11363/84962022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022 -- 14 November 2022 through 17 November 2022 -- Lisboa -- 196032Light Commercial Vehicles (LCVs) are widely used for last-mile delivery of goods to manufacturers and consumers due to their ease of manoeuvrability, better mileage, and lower operating costs. They account for over 80% of total commercial vehicle sales in the European Union. Therefore, automation of LCVs has a significant socio-economic impact. A fuzzy trajectory controller with a minimum number of rules is designed for a hypothetical Level 3 autonomous vehicle (L3AV) and tested in a narrow road scenario. The analysis of the simulations showed that the maximum tracking error in the angular position was 4.1° at 4 m/s, 6.3° at 6 m/s, and 6.7° at 8 m/s, while the maximum lateral error was 0.1 m in all scenarios. The results have shown that the proposed controller achieves acceptable performance at different speeds with a minimum number of rules, leading to real-time implementation. © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)eninfo:eu-repo/semantics/openAccessFuzzy Controller; Level 3 Autonomous Vehicle, Intelligent Control Strategy; Light Commercial Vehicle; Trajectory ControllerConference Object723762376810.1016/j.trpro.2023.11.5132-s2.0-85182948678N/A