Race Data AI I-Telemetry Yabaqhubi Be-Sim Racing ngu-Cansu Cetin

Uyilo olubizwa ngokuba yi-Race Data AI I-Telemetry Yabaqhubi Be-Sim Racing olwenziwe ngu-Cansu Cetin ngumwini obekekileyo webhaso elinobukhazikhazi le-2025 Ibhaso Lentsimbi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lwe-Inthafeyi, uNxibelelwano kunye naMava oMsebenzisi.

IntsimbiI-Inthafeyi· 2025

Race Data AI I-Telemetry Yabaqhubi Be-Sim Racing

ngu Cansu Cetin

Umxhasi: Driven AVS

Umwini we-Ibhaso Lentsimbi le-A' Design Award Kudidi Lwe-I-Inthafeyi

13,338

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#167411

Tyelela iSayithi Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Race Data AI I-Telemetry Yabaqhubi Be-Sim Racing

Le projekthi ichaza ngokutsha uhlahlelo lwe-sim racing ngokudala isixhobo se-telemetry esilula ukusisebenzisa esinxibelelanisa uqhubi oluveliswayo noqhubi lwenyaniso. Isenza lula idatha enzima ngeemephu zendlela ezisebenzisanayo, iidashboard ezinokutshintshwa, kunye nothelekiso lweelap. Iphuhliswe ngempendulo ephindaphindayo evela kubaqhubi be-sim racing, uyilo lunikela ngokuqonda okunokufumaneka kodwa oluneenkcukacha ukuphucula ukusebenza. Idibanisa ukuqulunqa okusha kunye nokusetyenziseka, inika amandla abaqhubi ukuba baphuculeke rhoqo baze baqonde ngcono idatha yabo yoqhubi.

Ukuqatshelwa

Malunga ne-Ibhaso Lentsimbi le-A' Design Award

Race Data AI I-Telemetry Yabaqhubi Be-Sim Racing ngumphumeleli weIbhaso Lentsimbi le-A' Design Award, ukuqatshelwa okuhlonitshwayo okunikwa imiyilo elungileyo eyanelisa iimfuno zobungcali neemveliso ezilindelekileyo kwimveliso ezicwangciswe kakuhle. Abaphumeleleyo beNtsimbi babonisa ubuchule obukhulu, ubuchule obuphezulu, ukuqonda kwengcali namandla okuyila abayili babo. Race Data AI I-Telemetry Yabaqhubi Be-Sim Racing iyathenjwa ukuba ibe yimveliso exatyiswa kakhulu, edunyiswayo nethandwayo esebenzayo neyinto entsha. Lo myilo uphumeleleyo weIbhaso Lentsimbi le-A' Design Award udibanisa iindlela ezilungileyo kakhulu zemboleko kwaye unezimpawu zobuchwephesha ezifanelekileyo ezidityaniswe nolwazi netalente. Race Data AI I-Telemetry Yabaqhubi Be-Sim Racing iyahlonelwa ngenxa yenkcukacha yayo kwaye yacwangciselwa ukunika uphuculo lomgangatho wobomi olunceda ukwenza ihlabathi libe yindawo engcono.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Imilinganiselo nePakishini: 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.
Iithegi: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
Ubuchwepheshe Bokuvelisa: 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.
Umngeni Woyilo: 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.
Uphando: 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.
Inkuthazo: 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.
Ubude Beprojekthi: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
Ukuhamba Komsebenzi: 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.