Race Data AI ለሲም ሬሰሮች ቴለሜትሪ by Cansu Cetin

Race Data AI ለሲም ሬሰሮች ቴለሜትሪ by Cansu Cetin is a highly esteemed winner of the very prestigious 2025 A' Design Award የብረት ሽልማት in የበይነገጽ፣ መስተጋብር እና የተጠቃሚ ተሞክሮ ዲዛይን Competition Category.

ብረትበይነገጽ· 2025

Race Data AI ለሲም ሬሰሮች ቴለሜትሪ

by Cansu Cetin

Client: Driven AVS

A' Design Award የብረት ሽልማት Winner in በይነገጽ Category

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The Design

About Race Data AI ለሲም ሬሰሮች ቴለሜትሪ

ይህ ፕሮጀክት ምናባዊና እውነተኛ የውድድር አለምን የሚያገናኝ ለተጠቃሚ ተስማሚ የቴለሜትሪ መሳሪያ በመፍጠር የሲም ሬሲንግ ትንተናን እንደገና ይገልጻል። ውስብስብ ዳታን በበይነተገናኝ የትራክ ካርታዎች፣ በብጁ ዳሽቦርዶች እና በዙር ንፅፅሮች ያቃልላል። ከሲም ሬሰሮች ተደጋጋሚ አስተያየት ጋር በመተባበር የተዘጋጀው ዲዛይን አፈጻጸምን ለማሻሻል ተደራሽ ሆኖ ዝርዝር ግንዛቤዎችን ይሰጣል። ፈጠራና አጠቃቀምን በማጣመር ሬሰሮች የሬሲንግ ዳታቸውን በተሻለ ሁኔታ እንዲረዱና ያለማቋረጥ እንዲሻሻሉ ያስችላቸዋል።

The Recognition

About the A' Design Award የብረት ሽልማት

Race Data AI ለሲም ሬሰሮች ቴለሜትሪ የA' Design Award የብረት ሽልማት አሸናፊ ነው፤ ይህም በጥሩ ሁኔታ ከተነደፉ ፈጠራዎች የሚጠበቁትን ሙያዊና ኢንዱስትሪያዊ መስፈርቶች ለሚያሟሉ ጥሩ ዲዛይኖች የሚሰጥ ከፍተኛ ክብር ያለው እውቅና ነው። የብረት አሸናፊዎች የፈጣሪዎቻቸውን ታላቅ ችሎታ፣ ከፍተኛ ልዩ ሙያ፣ የባለሙያ ግንዛቤ እና የፈጠራ አቅም ያሳያሉ። Race Data AI ለሲም ሬሰሮች ቴለሜትሪ ከፍ ያለ ግምት የሚሰጠው፣ የሚደነቅና የሚወደድ፣ ተግባራዊና ፈጠራ የተሞላበት ሥራ እንደሚሆን ይጠበቃል። ይህ የA' Design Award የብረት ሽልማትን ያሸነፈ ዲዛይን የኢንዱስትሪ ምርጥ ልምዶችን ያዋህዳል፤ ከእውቀትና ከተሰጥኦ ጋር የተሳሰሩ ብቁ ቴክኒካዊ ባህሪያትም አሉት። Race Data AI ለሲም ሬሰሮች ቴለሜትሪ በጥልቅነቱ የተከበረ ሲሆን ዓለምን የተሻለ ቦታ ለማድረግ የሚረዱ የሕይወት ጥራት ማሻሻያዎችን ለማቅረብ የተነደፈ ነው።

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: This design transforms sim racing analysis with intuitive data visualization and advanced telemetry tools, providing racers with actionable insights. Its user-focused approach ensures accessibility while maintaining technical depth, featuring interactive track maps, customizable dashboards, and seamless lap comparisons. Personalized analysis tools and community-driven feedback make it a standout solution for improving performance and bridging the gap between virtual and real racing.
Dimensions & Packaging: The design was developed with a focus on responsiveness, ensuring compatibility across various screen sizes. The layout adapts seamlessly from 1024x768px to 1792x1024px for larger displays. Interactive elements were optimized for touch and mouse input, with clickable areas sized for ease of use across devices. Data visualization tools were engineered for high performance, processing telemetry data in real-time with minimal latency, ensuring smooth user experience even with large datasets.
Tags: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
Production Technology: The design was developed using an iterative UX/UI process, emphasizing user feedback from sim racers. Wireframes and prototypes were created to test and refine key functionalities, such as telemetry data visualization and lap comparisons. Agile methodology was employed to allow for continuous improvement based on user testing. A modular design approach ensured flexibility, while data-driven insights guided the creation of interactive features that prioritize performance optimization and ease of use.
Design Challenge: The hardest part of this design was simplifying complex telemetry data without losing essential details. The challenge lay in balancing technical depth with user accessibility, as racers needed both detailed insights and easy navigation. Historical perspectives of traditional racing tools influenced the design, but new technology offered opportunities to innovate. External factors, such as varying levels of user expertise and limited research on specific racing behaviors, also presented obstacles, requiring extensive user feedback to refine the product.
Research: The research combined qualitative and user-centered studies to understand sim racers' needs and behaviors. The goal was to simplify telemetry data presentation to enhance performance. Insights were gathered through interviews, surveys, and online community observations, involving both casual and competitive sim racers. Results revealed a preference for simplified, interactive interfaces, informing a design that improves performance and user experience in virtual and real-world racing.
Inspiration: The project was inspired by the challenges sim racers face in translating virtual performance to real-world racing. Recognizing the complexity of existing telemetry tools, the goal was to simplify data analysis while enhancing usability. Drawing from user interviews, market research, and technical studies, the design combines intuitive features with a user-centered approach to help racers optimize performance and make the most of limited practice time.
Project Duration: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
Operation Flow: This design helps sim racers improve their performance by providing easy-to-understand data about their racing. Users can view their racing line, speed, and other key information to see where they can improve. By comparing laps, racers can find areas to optimize, such as braking and acceleration points. The design allows for simple interactions like clicking on turns to get more detailed feedback, making it easier to focus on key areas for improvement and achieve better results over time.