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Data acquisition and analysis are an intrinsic part of motorsport, helping a race team objectively evaluate the performance of both their car and driver. Over time, data acquisition has become almost universally employed through all levels of racing. While large teams in the sport’s highest ranks have many resources to derive answers from these data, users in more minor ‘stepping stone’ categories often find themselves unable to successfully exploit the full potential of the information gathered because of its volume and their limited resources. Further to issues associated with the volume of data, recent trends in racing have seen cuts to the time available for driver and car testing through all levels of the sport to reduce escalating competition costs. While users are faced with ever more data and less time in which to extract useful information, the tools provided by commercial analysis packages have shown little development. This article describes the investigation into a new three-dimensional graphical display method, which aims to help the user more rapidly assimilate acquired motorsport data to the race car producing it. The first two preliminary stages of development of this system are presented, demonstrating the ability of the system to operate with two levels of complexity, which might be considered to suitably represent different levels of user.
Together, results from both demonstrate the system’s potential for further development as a useful tool for accelerating a race team’s analysis of acquired data. Templeman, G. The competition car data logging manual. Dorchester: Veloce Publishing Ltd, 2008. Analysis techniques for racecar data acquisition.
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PhD Thesis, Loughborough University, Loughborough, 2010. Pi VIDS (video indexed data system) user guide.
Cambridgeshire: Pi Group Limited, 2000. Moloney, J, Coffey, S, Perez, A. Racing applications for digital motion analysis. SAE paper 983086, 1998. Vision, flight animation system (sales brochure). Manual For Garmin Homeport For Ipad. El Segundo, CA: Teledyne Technologies, 2010.
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Mastering ™ visual C++ 6. Alameda, CA: SYBEX, Inc., 1998. OpenGL ® distilled. Boston, MA: Pearson Education, Inc., 2006. Competition car data logging: a practical handbook. Somerset: Haynes Publishing, 2002.
Casanova, D, Sharp, RS, Symonds, P. Construction of race circuit geometry from on-car measurements. Proc IMechE, Part D: J Automobile Engineering 2001; 215: 1033– 1042., 20. Doogue, M, Walsh, M. The design of a track map based data acquisition system for the Dartmouth formula racing team. Springfield, MA: Analog Devices, Inc., 1998.
Blundell, MV, Harty, D. The multibody systems approach to vehicle dynamics. Oxford: Elsevier, 2004.
Burgess, MJ, Fleming, NP, Williams, SJ. A tool for rapid vehicle suspension design. SAE paper 20, 2004. Lotus Engineering. Getting Started With Lotus Suspension Analysis. Best Of Squirrel Nut Zippers RARE more. ( Version 5.03). Norwich, Norfolk: Lotus Cars Ltd, 2012.
Oxford Technical Solutions. RT3000 inertial and GPS measurement system: report from Silverstone F1 test (white paper). Upper Heyford, Oxfordshire: Oxford Technical Solutions Ltd, 2002. Competition car data logging: a practical handbook.
Somerset: Haynes Publishing, 2008. The physical operating principle of Correvit ® non-contact optical sensors (information sheet). Wetzlar: Corrsys-Datron Sensorsysteme GmbH, 2004.