Dealing with mixed and non-normative traffic. An agent-based simulation with the GAMA platform

Saval, Arnaud; Minh, Duc Pham; Chapuis, Kevin; Tranouez, Pierrick; Caron, Clément; Daudé, Éric; Taillandier, Patrick

doi:10.1371/journal.pone.0281658

Cited by 2 publications

(3 citation statements)

References 42 publications

(55 reference statements)

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“…The agents’ driving behavior is then modeled using GAMA’s advanced driving skill. 76 ESCAPE-VOLCANO can simulate the spatio-temporal dynamics of the volcanic hazard (e.g., ashfall or pyroclastic flow) and its interaction with the environment and other synthetic agents. If a road is blocked, the synthetic agent can recalculate its escape route and adapt its speed to the environment, i.e., volcanic ash reduces the visibility and the skid resistance.…”

Section: Model Descriptionmentioning

confidence: 99%

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Modeling staged and simultaneous evacuation during a volcanic crisis of La Soufrière of Guadeloupe (France)

Gillet,

Daudé,

Saval

et al. 2023

SIMULATION

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The seismic and fumarollic activity of La Soufrière de Gaudeloupe increased in 1992. Continuing unrest led the Observatoire volocanologique et sismologique of Guadeloupe (OVSG-IPGP) to recommend in July 1999 to the authorities that the volcano alert be set to “Vigilance” (yellow). The OVSG-IPGP has been particularly vigilant and reinforced its monitoring following another significant increase of unrest in 2017 that culminated in magnitude 4.1 felt earthquake and a probable failed phreatic eruption. Volcanic activity remains difficult to forecast precisely, so the only way to stay safe, in case of an impending eruption, is to move away from the threatened area. This can be a major problem for the authorities and the population. In the French overseas departments, despite the presence of several volcanoes, there is limited experience in managing volcanic emergencies, especially in areas with a high population density and strategic assets, such as the Basse-Terre region of Guadeloupe. Therefore, it is crucial to devise and assess an emergency management strategy to identify potential problems and dangers that may arise during a mass evacuation. Crisis exercises can be planned to prepare the authorities and the population, but they are rarely carried out due to the human and resource costs involved. A series of evacuation scenarios are evaluated through simulations. The scenarios model staged and simultaneous evacuations with different speeds of individual response times. The aim of this research is to evaluate the two main evacuation strategies defined in the current volcano emergency response plan for La Soufrière of Guadeloupe, revised in 2018 by the authorities. This paper describes a calibrated agent-based model of mass evacuation and its exploration focusing on the potential staged evacuations of the southern Basse-Terre area. The overall objectives of this research are to: (1) test the evacuation strategy of the current emergency plan, and (2) provide relevant information to stakeholders. The results of these simulations suggest that there is no significant difference between the two evacuation strategies. It is estimated that 95% of the population will be evacuated within 20 h with a simultaneous or a staged evacuation. Whatever the scenario, the simulation results show high levels of road congestion. However, the staged evacuation will significantly reduce the number of vehicles on the network during the peak time of the evacuation and therefore reduce dangerous situations and the potential for adding crises within a volcanic crisis.

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Section: Model Descriptionmentioning

confidence: 99%

“…Moving agents can perceive other moving agents and adapt their speed to the speed of other moving agents and to the road infrastructure. 76 The model is stochastic in several aspects. The decision to evacuate, the choice of escape route, and the reaction time are randomly generated.…”

Section: Model Descriptionmentioning

confidence: 99%

Modeling staged and simultaneous evacuation during a volcanic crisis of La Soufrière of Guadeloupe (France)

Gillet,

Daudé,

Saval

et al. 2023

SIMULATION

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“…Its modularization capabilities and integration with external plugins ensure extensibility for various situations (TAIL-LANDIER et al, 2019). As a flexible and dynamic platform has allowed researchers to use it in scenarios such as traffic simulations (TAILLANDIER, 2014;SAVAL et al, 2023), building evacuation (MACATULAD; BLANCO, 2014), and urban growth prediction (TSAGKIS; PHOTIS, 2018). It has been recently used to develop simulations regarding the evolution of the COVID-19 Pandemic, helping researchers understand its dangers and effects (BAN et al, 2020).…”

Section: Gama Platformmentioning

confidence: 99%

Personalify: uma estrutura para implementação de agentes MBTI.

Braz

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The use of Artificial Intelligence for the evolution of the study of human behavior has been receiving great attention from researchers over the years. The study of techniques that allow simulation of human characteristics using computers has contributed to a better understanding of several factors, including people's personality types and behavioral preferences. In this sense, instruments such as the Myers-Briggs Type Indicator (MBTI) have been used, seeking to classify and categorize individuals' behavioral preferences to describe their particularities and support a greater understanding of human factors in different contexts, such as in work. Studies show that human capital is one of the most critical resources for organizations that, despite this, still lack means that allow them to broadly understand the factors associated with the formation of high-performance teams. The use of tools that allow individuals greater self-knowledge of their preferences and characteristics can help in adaptations that create more harmonious environments and are favorable to teamwork, positively impacting teams' results. In this work, we sought to explore, through agent-based simulations, the observation of behavioral aspects that can influence decisions and the consequent performance of artificial agent teams. In particular, we propose a framework called Personalify, which extends the Belief-Desire-Intentions (BDI) architecture in order to incorporate multiple decision attributes designed with characteristics described in MBTI model. The Personalify was implemented on the Gama platform, and tested in various buyers and sellers scenarios, which have similarities with work contexts, aiming to provide simulations closer to organizational realities. In this way, it is expected that the study will contribute significantly to a better understanding of elements that can influence modeled agent behavior with personalities inspired by MBTI theory, observing how certain characteristics can have a greater impact on the decisions made by agents and how these could be related to overall results presented by the team.

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Dealing with mixed and non-normative traffic. An agent-based simulation with the GAMA platform

Cited by 2 publications

References 42 publications

Modeling staged and simultaneous evacuation during a volcanic crisis of La Soufrière of Guadeloupe (France)

Modeling staged and simultaneous evacuation during a volcanic crisis of La Soufrière of Guadeloupe (France)

Personalify: uma estrutura para implementação de agentes MBTI.

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