Modelling and simulating individual's mobility: case study of Luxembourg and its greater region

In the last century, transport and in particular the use of private cars has emerged as a major source of CO2 emissions (second behind energy production). Several cities in the world have put in place strategies to deal with this problem and to reduce its adverse environmental impacts. Some strategies could not achieve their objectives, and had negative reactions from individuals. The ail of this PhD thesis is to propose a methodology and a platform for modelling and simulating people mobility systems. The developed plat form is, then, used to implement land use and transportation scenarios and strategies in a virtual world to study their impact on human behavior in terms of mobility. To develop this platform, we propose a hybrid model, combining cellular automata and multi-agent systems, capable of handling the complexity of the mobility system able to present it at various spatial ans temporal scales.