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In the way of achieving maximum performance of a racecar several aspects of it have to be optimized. The whole picture of vehicle performance involves crossing data to find relationship among systems and identifying trends, pitfalls and optimum points. In this paper, a straightforward software tool for tire data analysis is developed and described. The software aims to integrate tire data analysis in early stages of the development process of a Formula SAE racecar. In addition, it is thought to be a learning environment to fresh team members. To establish and achieve the necessary goals, an affordancebased model was used to elicit user needs. Regarding the tires, it was possible to precisely point out what data is required to quickly fit a Pacejka tire mode and to cross raw tire data of different tires and preview the steady state balance of a vehicle.

Emerging markets and South America in particular, have quickly become the cornerstone of major automotive companies in recent years. Currently, all major players are located in the region, and this has created an excellent environment for developing market-tailored products. The trend in the design and technology community is one which allows the final customer to improve his own safety and reduce overall power consumption. Throughout the entire automotive industry, the lighting system has always had a very important role to play during its long history. In the past 50 years, vehicular lighting has achieved an important status due to its close relationship by enhancing passenger and vehicle security. In addition, there is still room for improvement in the halogen front lighting system. Particularly, it is of utmost importance to highlight the implementation of NEO (new efficient optics).