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

Umdwebo Race Data AI I-Telemetry Yabagibeli Be-Sim Racing ngu-Cansu Cetin ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2025 Umklomelo Wensimbi we-A' Design Award Esigabeni Somncintiswano se-Ukudizayina I-Inthafeyi.

InsimbiI-Inthafeyi· 2025

Race Data AI I-Telemetry Yabagibeli Be-Sim Racing

ngu Cansu Cetin

Iklayenti: Driven AVS

Umnqobi we-Umklomelo Wensimbi we-A' Design Award Esigabeni se-I-Inthafeyi

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Umnqobi Womklomelo Oqinisekisiwe

Qinisekisa Isimo Somklomelo se-#167411

Vakashela Isayithi Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

Imibala

Ukuklama

Mayelana ne-Race Data AI I-Telemetry Yabagibeli Be-Sim Racing

Leli phrojekthi lichaza kabusha ukuhlaziya kokugibela nge-sim ngokudala ithuluzi le-telemetry elilula ukusebenzisa elihlanganisa ukugibela okwevirtual nokweqiniso. Lenza lula idatha eyinkimbinkimbi ngamamephu ezindlela asebenzisanayo, ama-dashboard aguqukayo, nokuqhathanisa imilayezo. Lwathuthukiswa ngempendulo ephindaphindiwe evela kubagibeli be-sim, idizayini inikeza ulwazi olufinyeleleka kodwa olunininingwazi ukuze kuthuthukiswe ukusebenza. Kuhlanganisa ukusungula nokusetshenziswa, kunika amandla abagibeli ukuthi bathuthuke njalo futhi baqonde kangcono idatha yabo yokugibela.

Ukuqashelwa

Mayelana ne-Umklomelo Wensimbi we-A' Design Award

Race Data AI I-Telemetry Yabagibeli Be-Sim Racing iwinile uMklomelo Wensimbi we-A' Design Award, ukwaziswa okuhloniphekile okunikezwa imiklamo emihle ehlangabezana nezidingo zobungcweti nezemboni ezilindelekile ezimpahleni ezihlelwe kahle. Abawinile beNsimbi babonisa ikhono elikhulu, ubungcweti obuphezulu, ukuqonda kochwepheshe namandla okudala abadali babo. Race Data AI I-Telemetry Yabagibeli Be-Sim Racing ilindeleke ukuba ibe yinto exatshwa kakhulu, edunyiswayo nethandwayo esebenzayo nenezinto ezintsha. Lo mklamo owinile uMklomelo Wensimbi we-A' Design Award uhlanganisa izindlela ezinhle kakhulu zemboni futhi unezimfanelo zobuchwepheshe ezifanelekile ezihlanganiswe nolwazi nethalente. Race Data AI I-Telemetry Yabagibeli Be-Sim Racing iyahlonishwa ngenxa yokucophelela kwayo futhi ihlelelwe ukulethela izinguquko zomgangatho wempilo ezisiza ukwenza umhlaba ube yindawo engcono.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Izilinganiso Nokupakisha: 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.
Amathegi: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
Ubuchwepheshe Bokukhiqiza: 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.
Inselele Yokudweba: 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.
Ucwaningo: 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.
Ugqozi: 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 Bephrojekthi: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
Ukuhamba Kokusebenza: 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.