A Conceptual Hybrid Simulation Approach for Advancing Safety in Connected Automated Vehicles

Ensuring traffic safety remains a major challenge due to the complexity of traffic environments and the early stage of autonomous vehicle (AV) technology, despite their potential to significantly reduce accidents and enhance road safety. The Artificial Potential Field (APF) approach offers a promising solution by simulating how vehicles adjust their motion, speed, and interactions with surrounding vehicles to maintain safety. This paper aims to introduce a conceptual hybrid simulation using the APF implemented within a multi-agent framework. The objective is to evaluate the suitability of APF model for real-time safety applications across extended time periods and diverse traffic scenarios. This evaluation is conducted through a hybrid simulation approach to identify advantages and limitations compared to existing risk assessment methodologies.

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Publication Details

Published
2025-12-07
DOI
https://doi.org/10.1109/wsc68292.2025.11338861
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
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article

A Conceptual Hybrid Simulation Approach for Advancing Safety in Connected Automated Vehicles

Fotios Spyridonis, George Ghinea, Simon J E Taylor, Traecy Elezi
Autonomous Vehicle Technology and Safety
article

A Conceptual Hybrid Simulation Approach for Advancing Safety in Connected Automated Vehicles

Fotios Spyridonis, George Ghinea, Simon J E Taylor, Traecy Elezi
article en

Abstract

Ensuring traffic safety remains a major challenge due to the complexity of traffic environments and the early stage of autonomous vehicle (AV) technology, despite their potential to significantly reduce accidents and enhance road safety. The Artificial Potential Field (APF) approach offers a promising solution by simulating how vehicles adjust their motion, speed, and interactions with surrounding vehicles to maintain safety. This paper aims to introduce a conceptual hybrid simulation using the APF implemented within a multi-agent framework. The objective is to evaluate the suitability of APF model for real-time safety applications across extended time periods and diverse traffic scenarios. This evaluation is conducted through a hybrid simulation approach to identify advantages and limitations compared to existing risk assessment methodologies.

Brunel University of London (GB)
Affordable and clean energy
Openalex Percentile: Top 41%
Autonomous Vehicle Technology and Safety
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