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Modern braking systems focus on sustaining vehicle stability, often degrading the brake performance. The major downgrades of the braking performance are nearly impossible to model using a classical mathematical approach, making them not feasible to use in real braking system controllers. In this paper, the use of combined Neural Networks and Fuzzy logic for the control of the braking system of a commercial vehicle while maximizing performance and sustaining stability is proposed. The control system comprises adhesion estimation, an inverse brake model, and a fuzzy logic controller to keep the system giving optimal control signals in various brake conditions while sustaining vehicle stability and steerability. The results based on a semi-trailer system reveal the success of the proposed AI-based braking system algorithm while braking under varying conditions.<\/jats:p>\n                  <jats:p>\n                    <jats:bold>Graphical abstract<\/jats:bold>\n                  <\/jats:p>","DOI":"10.1007\/s00500-025-10889-1","type":"journal-article","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T10:23:10Z","timestamp":1757931790000},"page":"5449-5464","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Neuro-fuzzy control of commercial vehicles braking"],"prefix":"10.1007","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-9746-297X","authenticated-orcid":false,"given":"Veljko","family":"Vu\u010dini\u0107","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7901-3469","authenticated-orcid":false,"given":"Dragan","family":"Aleksendri\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,15]]},"reference":[{"key":"10889_CR1","doi-asserted-by":"publisher","unstructured":"Abreu R, Botha TR, Hamersma HA (2023) Model-free intelligent control for antilock braking systems on rough roads. 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The paper reflects the authors\u2019 research and analysis truthfully and completely. The results are appropriately placed in the context of prior and existing research.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human Participants and\/or Animals"}}]}}