Case Study

Illuminating Innovation: How Digital Engineering Validated Smart Cat's Eyes for Safer Roads

Element advisory services meeting between customers and testing experts discussing certification and compliance solutions

This article by Jon Douglas explains how Element used Finite Element Analysis to evaluate and optimize a smart cat's eye design for road safety. By simulating vehicle loads, impacts, and environmental conditions, the team identified vulnerabilities, validated the concept, and enabled iterative improvements before prototype production and field trials.

Background

Road safety remains a critical concern, particularly on unlit roads where visibility is compromised. Our client, a forward-thinking transport industry innovator, developed a concept for smart cat's eyes – integrating electronic components into traditional reflective road markers to actively illuminate dangerous road conditions. Recognizing the need for engineering expertise to validate their design before significant investment, they approached Element Digital Engineering based on our reputation for excellence in R&D product development and testing expertise. 

The challenge

The client's vision was to leverage existing cat's eye infrastructure by installing their innovative electronic hardware within standard cat's eye shells, thus minimizing deployment costs and complexity. However, this approach raised concerns about whether conventional shells could adequately protect sophisticated electronics from the punishing conditions of road environments – including heavy vehicle traffic, weather extremes, and road maintenance activities. The client needed a cost-effective method to evaluate design viability and identify potential failure points before committing to expensive manufacturing and field trials. 

The solution

Element's Digital Engineering team designed a comprehensive evaluation approach using Linear-Elastic Finite Element Analysis (FEA) to assess the design. Rather than attempting absolute performance predictions with limited design maturity, we implemented a comparative study against existing cat's eye designs with proven field performance. This back-to-back analysis, following relevant ASTM testing standards, allowed us to identify relative strengths and weaknesses of the new design. 

Our engineers created detailed digital models of both the standard cat's eye and the client's modified version with electronic components. We then simulated critical real-world conditions including vehicle wheel loads, impact forces, temperature fluctuations, and water ingress scenarios. This systematic approach highlighted specific stress concentrations and potential failure modes that would have remained undetected until physical testing or, worse, field deployment. When areas of concern were identified, our team worked collaboratively with the client's designers to develop and evaluate iterative improvements, optimizing the design while maintaining compatibility with existing infrastructure. 

The result

The FEA study delivered crucial insights that enabled our client to refine their smart cat's eye design before investing in physical prototypes. Our analysis confirmed that, with specific modifications, the existing cat's eye shell could indeed provide adequate protection for the electronic components, validating the client's core concept while identifying and addressing critical vulnerabilities. 

The collaborative design optimization process significantly de-risked the product development pathway, giving stakeholders the confidence to proceed with the next development phase. 

Based on our comprehensive evaluation and design recommendations, the client has now commissioned prototype manufacturing and scheduled road trials – moving their innovation closer to commercial reality and its potential to improve road safety across unlit roadways. 

Why Choose Element

Imagetest

Industry-Leading Expertise

Our Digital Engineering team brings decades of experience across transportation, infrastructure, and electronic systems.

Risk Reduction

We identify and solve design challenges early, before they become expensive problems.

Cost-Effective Solutions

Our digital approach minimizes physical prototyping costs while maximizing design confidence.

Collaborative Development

We work as an extension of your team, providing expert guidance throughout the R&D process.

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Our Machine Learning and Data Science services offer customized solutions to transform your data into actionable insights. We integrate predictive analytics with hardware testing to minimize downtime, optimize resources, and improve safety. Our software-agnostic approach ensures seamless integration with your systems, delivering AI-powered insights tailored to your operational needs.

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