Abstract
In this paper, we address the issue related to the modelling and simulation of urban systems. We propose a new approach for simulating urban system based on multi-agent paradigm. Our proposed model is based on the use of a coupling between cellular agents and vector agents. These agents made it possible to take into account the spatial dimension of urban systems as well as the modelling of all the rules that govern them. To allow reusability of our model, we apply the VOYELLE approach by defining an environment model, an organization model, an agent model and an interaction model. We test our proposed model with a case study on Casablanca city. We discuss the problem of urbanization of Casablanca by following an approach that reduces the problem into two sub-problems similar but are treated differently: first, predict the city’s need of housing (individual housing zone, multifamily housing zone, ...) and then anticipate the city’s need of public services and ensure better spatial distribution of these equipment to best serve the people needs. Then we did experimentation with two simulation scenarios by changing in each scenario the hypotheses concerning urban planning especially in terms of demographic growth rate and residential sprawl.
Highlights
In the literature, there are several simulation techniques of complex systems: micro simulation [1], cellular automata [2] [3] and the object-oriented [4] simulation
A new trend has emerged in recent years: the agent-oriented simulation [5] [6] [7] that took considerable development and it is used in a growing number of sectors, where it is gradually replacing other simulation techniques
The term urban simulation is used to denote the attempt to reproduce urban dynamics [13]. These are often simulation approaches based on cellular automata that are proposed in the literature [14], but we find some cases which deal with the problem with agent-based models [15]
Summary
There are several simulation techniques of complex systems: micro simulation [1], cellular automata [2] [3] and the object-oriented [4] simulation. When the system reaches a certain level of complexity, these techniques are insufficient, first to model the system dynamics and the interactions between the elements, and secondly, these techniques do not allow the system representations at different levels (micro / macro) and does not explain the emergence of space-time structures. To overcome these problems, a new trend has emerged in recent years: the agent-oriented simulation [5] [6] [7] that took considerable development and it is used in a growing number of sectors, where it is gradually replacing other simulation techniques. We focus on the urban system that can be considered as a spatial system in which several elements involved in its organization
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