Innovative Solutions for Enhanced Driving Safety: A TRIZ-Based Approach to Reducing Visibility Issues and Driver Distraction

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Résumé

Creativity and Innovation Techniques (CIT) play a vital role in fostering ongoing development across industries, yet their practical implementation remains challenging. Traditional CIT methods often require substantial expertise, are limited by human knowledge, and lack clear procedural guidelines. TRIZ, a well-established creative problem-solving methodology, offers a structured approach but does not fully address problem definition and solution generation. This research explores how integrating AI-driven frameworks, such as ChatGPT, with TRIZ can enhance innovation by expanding the knowledge discovery process and supporting solution selection beyond conventional expertise. The proposed framework leverages machine learning to define contradictions, establish evaluation criteria, and streamline innovation. A case study demonstrates its effectiveness in solving engineering challenges, highlighting its potential to improve decision-making and problem-solving across diverse fields.

langue originaleAnglais
titreProduct Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry - 22nd IFIP WG 5.1 International Conference, PLM 2025, Revised Selected Papers
rédacteurs en chefFernando Mas, Carmelo Del Valle, Benoît Eynard, Louis Rivest, Abdelaziz Bouras
EditeurSpringer Science and Business Media Deutschland GmbH
Pages222-231
Nombre de pages10
ISBN (imprimé)9783032096999
Les DOIs
étatPublié - 2026
Evénement22nd IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2025 - Seville, Espagne
Durée: 6 juil. 20259 juil. 2025

Série de publications

NomIFIP Advances in Information and Communication Technology
Volume772 IFIPAICT
ISSN (imprimé)1868-4238
ISSN (Electronique)1868-422X

Conférence

Conférence22nd IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2025
Pays/TerritoireEspagne
La villeSeville
période6/07/259/07/25

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