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Affiliation(s)

University of México, Huehuetoca, Mèxico
University of Hidalgo, Pachuca, Mèxico
University of Tlaxcala, Mèxico
University of CDMX, Mexico
University of FV, Mexico

ABSTRACT

The IndyCar series distinguishes itself by providing the same design and operation of the single-seater to its pilots. The difference in times is then attributable to the skills of the drivers, but considering the data from the races could test this assumption. The objective of this work was to establish a trajectory model to predict race times. A cross-sectional, correlational, and explanatory work was carried out with a sample of 18,474 records in the period from 2020 to 2023 of the IndyCar series. The results show that the time span predicts the time differences. In relation to the studies of acceptance of the technology, the adjustment of this to human capacities to explain the time differences in the series of racing cars is discussed.

KEYWORDS

time differences, ranking differences, ranking, race time, laps completed

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