Toward an Acceptable Dynamic Allocation Considering Fairness on Autonomous Car Parking

Suma Saathvika Duddela, Naoki Fukuta

Abstract: In terms of autonomous-cars, car parking problem is one of the problems that has to be addressed. The allocation of autonomous car parking spaces is a complex problem that requires considering fairness from different perspectives. Determining what constitutes a fair decision across these different perspectives is a challenging concept. We present a potential approach of using Large Language Models(LLMs) to evaluate fairness. In addition, we discuss possible methods to apply this idea into each specific situation by investigating the way to convert situation-specific images into natural language explanations, which can then be analyzed by the LLMs. This paper proposes a preliminary approach of how LLMs can be used to evaluate the fairness in parking allocation systems.