Introducing social influence in pedestrian street crossing simulations

@inproceedings{Rakotoarivelo2021,
title = {Introducing social influence in pedestrian street crossing simulations},
author = {Anjara Nobby Rakotoarivelo and Jean-Michel Auberlet and Roland Brémond},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year  = {2021},
date = {2021-09-14},
booktitle = {Proceedings of the Driving Simulation Conference 2021 Europe VR},
pages = {173-179},
address = {Munich, Germany},
organization = {Driving Simulation Association},
abstract = {Automated vehicle driving raises the challenge of producing vehicle behaviors similar to those produced by human drivers. Automated vehicles could then be accepted more easily. Among the many different behaviors to be simulated, one is particularly important from a road safety point of view: the interaction between automated vehicles and pedestrians during a street crossing. More particularly, pedestrians non-normative and unexpected behaviors should be taken into account by automated vehicles. Studying the behaviors of drivers or passengers in these situations becomes a major stake for the acceptance of automated vehicles. Thus, in this contribution, we aim to develop a new model of pedestrian street crossing at a red light for virtual pedestrians in order to facilitate the scenario development. This model will allow virtual pedestrians to cross the street illegally, and to influence other pedestrians to follow them. Thus, some among the waiting pedestrians will also illegally cross the street. The model is able to manage in a very simple manner a group of pedestrians with only few parameters. These parameters allow to coordinate the pedestrians in the group for street crossing, and experimenters will keep the control on their studies in ceteris paribus conditions. The model is based on three hypotheses. The first one concerns the time that each pedestrian accepts to wait at the red light. The second and third hypotheses are related to social influence: the actions made by others influence the pedestrian street crossing decisions. Based on the works of Rosenbloom (2009), we assume that: i) waiting pedestrians encourage the others to wait too, and: ii) crossing pedestrians at a red light show the others there is an opportunity to cross, and thus encourage them to cross. The simulation results illustrate our method and show different pedestrians group behaviors of street crossing.},
keywords = {group behavior, illegal crossing, Pedestrian modelling, scenario, social influence, street crossing},
}

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TY  - CONF
TI  - Introducing social influence in pedestrian street crossing simulations
AU  - Rakotoarivelo, Anjara Nobby
AU  - Auberlet, Jean-Michel
AU  - Brémond, Roland
C1  - Munich, Germany
C3  - Proceedings of the Driving Simulation Conference 2021 Europe VR
DA  - 2021/09/14
PY  - 2021
SP  - 173
EP  - 179
LA  - en-US
PB  - Driving Simulation Association
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2021/introducing-social-influence-in-pedestrian-street-crossing-simulations
ER  - 

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