Work

Game Theory-Based Risk Assessment of the Use of Autonomous Cars in an Urbanized Area

Year: 2025

Type: article

Abstract: With the advancement of autonomous vehicles and their integration into urbanized areas, new challenges emerge related to safety and risk management. This paper presents an approach to assessing the risks of using autonomous cars in urban environments based on game theory. The analysis focuses on interactions between autonomous and traditional vehicles, as well as other road participants, such as pedestrians and cyclists. By employing game theory models, potential conflicts, risk scenarios, and their impact on traffic safety and efficiency are identified. The proposed methods provide a foundation for developing risk management strategies that contribute to the safe and sustainable integration of autonomous vehicles in urban areas.

Source: Mathematics

DOI: 10.3390/math13040553

Authors: Vasilena Adamova, Stoyan Popov, Simona Todorova, Silvia Baeva, Nikolay Hinov

Institution: Technical University of Sofia

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $3,137