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Communication Dans Un Congrès Année : 2021

Introducing social influence in pedestrian street crossing simulations

Résumé

To drive automated vehicles rises the challenge of producing vehicles behaviors similar to those produced by human drivers. Therefore, the automated vehicles could 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. This article aims to develop a new model of pedestrian street crossing at a red light. 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 spend 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 shows the others there is an opportunity to cross, and thus encourages them to cross. The simulation results illustrate our method and show different pedestrians group behaviour of street crossings. Our method allows the experimenter to coordinate the pedestrians in the group with only three parameters.
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Dates et versions

hal-04434100 , version 1 (02-02-2024)

Identifiants

  • HAL Id : hal-04434100 , version 1

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Anjara Nobby Rakotoarivelo, Jean-Michel Auberlet, Roland Brémond. Introducing social influence in pedestrian street crossing simulations. Driving Simulation Conference, Sep 2021, Munich, Germany. ⟨hal-04434100⟩
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