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KES-AMSTA 2021, 15th KES International Conference Agents and Multi-Agent Systems: Technologies and Applications, Virtuel, , 14-/06/2021 - 16/06/2021; Mobility simulations are an effective tool to forecast the effects of transportation policies. They are a useful part of decision support systems for policymakers. Big real-estate projects, aiming at creating whole new neighborhoods, for instance, need this kind of application to estimate their impacts on the surrounding environment. The potential visits of the various equipments and the public spaces of the new neighborhood can also be estimated with this kind of tools. In this context, agent-based simulation is a relevant model for the design and implementation of transportation applications, that represents travelers individually, together with their perception model of the environment and their internal decision processes. In this paper, we propose a multi-agent activity-based simulation to represent current and future mobility patterns in a city, with or without a new neighborhood. We describe the inputs of the simulation, in terms of networks and travel demand, the behaviors of the agents, and the outputs on the laVallée project (France). The first series of experiments demonstrate the potential of the simulation and its benefits for the project managers and the decision-makers in the concerned territories.

Identifying the spatio-temporal patterns of people activities in urban areas is key to effective urban planning, it can be used in real-estate projects to predict their future impacts on behavior in surrounding accessible areas. LaVall&eacute, e is a large construction project recently started in Paris&rsquo, s suburb, it is a new district due in 2024. The paper is in the field of urban planning, aiming at developing a method making it possible to model the potential visits of the various equipment and public spaces of the district, by mobilizing data from census at the departmental level, and the layout of shops and activities as defined by the real-estate project. This model takes into account the flow of external visitors, estimated realistically based on the pre-project movements in the areas of influence of LaVall&eacute, e. In this paper, we propose an activity-based model methodology to determine trips and their purpose at a mesoscopic scale including the city and surrounding areas, in the current baseline scenario. This travel demand is required to estimate potential external visitors of the future district. A first demonstration shows that the model correctly represents the current demands and allows the forecast of future demand in the area.