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Authors: Philippe Mathieu and Antoine Nongaillard

Affiliation: Univ. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL, F-59000, France

Keyword(s): Traffic Simulation, Multiagent System, Driver Behavior.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 314-321. DOI: 10.5220/0010872100003116

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Mathieu, P.
AU - Nongaillard, A.
PY - 2022
SP - 314
EP - 321
DO - 10.5220/0010872100003116
PB - SciTePress

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