Risk-oriented Behavior Design for Traffic Simulation

Philippe Mathieu, Antoine Nongaillard

2022

Abstract

With the advent of the autonomous vehicle and the transformation of the automobile sector in the next decade, road traffic simulation has taken off again, and behavioral testing represents a significant area. A collision is a potentially complex phenomenon that is very difficult to study. In most tools, collisions are predefined phenomena, preventing the study of behavioral factors’ impacts on these collisions. The notion of risk-taking is essential in individual driving behavior to obtain realistic traffic at both the macroscopic (flow) and microscopic (individual behavior) levels. We propose a model where collisions are unpredictable emerging phenomena resulting from individual deterministic behaviors where risk-taking parameters ease the design of various behaviors.

Paper Citation

in Harvard Style

Mathieu P. and Nongaillard A. (2022). Risk-oriented Behavior Design for Traffic Simulation. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-547-0, pages 314-321. DOI: 10.5220/0010872100003116

in Bibtex Style

@conference{icaart22,
author={Philippe Mathieu and Antoine Nongaillard},
title={Risk-oriented Behavior Design for Traffic Simulation},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2022},
pages={314-321},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010872100003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Risk-oriented Behavior Design for Traffic Simulation
SN - 978-989-758-547-0
AU - Mathieu P.
AU - Nongaillard A.
PY - 2022
SP - 314
EP - 321
DO - 10.5220/0010872100003116