Le partage de la route entre différents modes de déplacement tels que les véhicules légers, les poids lourds et les vélos génère de nombreux problèmes de sécurité routière. Une solution envisagée pour faciliter le partage de l’espace routier est un repositionnement du marquage latéral afin de laisser plus d’espace aux modes doux. Cependant, l’effet d’un changement du profil en travers de la route sur les comportements des conducteurs a été jusqu’ici peu étudié. Le projet PROFIL a eu pour objectif d’étudier cet impact dans différentes situations (véhicule instrumenté, simulateur de conduite, simulateur de trafic). Dans ce cadre, nous proposons le modèle LFM (Lateral Force Model), prenant en compte les effets longitudinaux et latéraux du profil en travers au sein de la voie de circulation. Nous montrons que ce modèle, fondé sur IDM (Intelligent Driver Model) dans sa composante longitudinale, reproduit de façon effective les effets de la largeur de la voie en circulation libre, en situation de croisement de véhicules, en situation de dépassement de deux-roues non-motorisés et en virage selon les données recueillies dans des expérimentations en situation réelle et en simulateur.
Sharing the road between different modes of transport such as light vehicles, heavy vehicles and bicycles involves many road safety problems. One solution considered to facilitate the sharing of road space is a repositioning of the side marking to allow more space for soft modes. However, the effect of a change in the profile across the road on driver behaviour has so far been little studied. The PROFIL project aimed to study this impact in different situations (instrumented vehicle, driving simulator, traffic simulator). In this context, we propose the Lateral Force Model (LFM), which takes into account the longitudinal and lateral effects of the cross-sectional profile within the traffic lane. We show that this model, based on the Intelligent Driver Model (IDM) in its longitudinal component, effectively reproduces the effects of lane and platform width in open traffic, vehicle crossing situations, overtaking of non-motorized two-wheelers and curves, based on data collected in real-life and simulator experiments.
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Keywords: Multiagent systems, Traffic simulation, Behaviour models
Julien Saunier 1
CC-BY 4.0
@article{ROIA_2022__3_5-6_451_0,
author = {Julien Saunier},
title = {Mod\`ele de comportement lat\'eral des v\'ehicules l\'egers fond\'e sur des forces},
journal = {Revue Ouverte d'Intelligence Artificielle},
pages = {451--476},
publisher = {Association pour la diffusion de la recherche francophone en intelligence artificielle},
volume = {3},
number = {5-6},
year = {2022},
doi = {10.5802/roia.39},
language = {fr},
url = {https://roia.centre-mersenne.org/articles/10.5802/roia.39/}
}
TY - JOUR AU - Julien Saunier TI - Modèle de comportement latéral des véhicules légers fondé sur des forces JO - Revue Ouverte d'Intelligence Artificielle PY - 2022 SP - 451 EP - 476 VL - 3 IS - 5-6 PB - Association pour la diffusion de la recherche francophone en intelligence artificielle UR - https://roia.centre-mersenne.org/articles/10.5802/roia.39/ DO - 10.5802/roia.39 LA - fr ID - ROIA_2022__3_5-6_451_0 ER -
%0 Journal Article %A Julien Saunier %T Modèle de comportement latéral des véhicules légers fondé sur des forces %J Revue Ouverte d'Intelligence Artificielle %D 2022 %P 451-476 %V 3 %N 5-6 %I Association pour la diffusion de la recherche francophone en intelligence artificielle %U https://roia.centre-mersenne.org/articles/10.5802/roia.39/ %R 10.5802/roia.39 %G fr %F ROIA_2022__3_5-6_451_0
Julien Saunier. Modèle de comportement latéral des véhicules légers fondé sur des forces. Revue Ouverte d'Intelligence Artificielle, Post-actes des Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2018-2019-2020), Volume 3 (2022) no. 5-6, pp. 451-476. doi : 10.5802/roia.39. https://roia.centre-mersenne.org/articles/10.5802/roia.39/
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