We consider autonomous racing of two cars and present an approach to formulate racing
decisions as a noncooperative nonzero-sum game. We design three different games where …

One of the main challenges in the Multi-Criteria Decision Analysis (MCDA) field is how we
can identify criteria weights correctly. However, some MCDA methods do not use an …

The hybrid-electric powertrain currently used in Formula 1 race cars draws its energy from
the car's fuel tank and battery. The usable battery size is limited, and refueling during a race …

We investigate autonomous racing of cars and derive control approaches replacing the
decision-making process of a human race car driver. The task has three main challenges …

In motorsports, every racing participant pursues the goal to finish the race in the shortest
time possible. There are several ways to influence the race with race strategy decisions, eg …

This article analyses competitive balance in Formula 1 motor racing 1950-2010. It is shown
that regulation change has had a significant positive impact on championship uncertainty …

This paper uses random-coefficient models and (a) finds rankings of who are the best
formula 1 (F1) drivers of all time, conditional on team performance;(b) quantifies how much …

Energy and thermal management is a crucial element in Formula-E race strategy
development. Most published literature focuses on the optimal management strategy for a …

Applying an optimal race strategy is a decisive factor in achieving the best possible result in
a motorsport race. This mainly implies timing the pit stops perfectly and choosing the optimal …

Energy and thermal management is a crucial element in Formula-E race strategy
development. In this study, the race-level strategy development is formulated into a Markov …