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

Research output: Contribution to Book/Report typesContribution to conference proceedingspeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProduct Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry - 22nd IFIP WG 5.1 International Conference, PLM 2025, Revised Selected Papers
EditorsFernando Mas, Carmelo Del Valle, Benoît Eynard, Louis Rivest, Abdelaziz Bouras
PublisherSpringer Science and Business Media Deutschland GmbH
Pages222-231
Number of pages10
ISBN (Print)9783032096999
DOIs
Publication statusPublished - 2026
Event22nd IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2025 - Seville, Spain
Duration: 6 Jul 20259 Jul 2025

Publication series

NameIFIP Advances in Information and Communication Technology
Volume772 IFIPAICT
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference22nd IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2025
Country/TerritorySpain
CitySeville
Period6/07/259/07/25

!!!Keywords

  • Artificial intelligence
  • Creativity and Innovation Techniques
  • TRIZ

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