The analysis of human behaviour from the viewpoint of network developments has gained much scientific attention. Especially in a spatial context, many network models have been designed. Network models centre their analysis around the spatial behaviour of individuals or groups in an organized pattern of nodes and links. Since the 1970s, a wide range of such models has been developed and applied. Examples are linear programming models, chaos models, spatial competition models and many others. Some of these models were rooted in behavioural foundations of social or economic choice, others were based on analogous interpretations from the natural sciences. Some of these models are based on macro minimizing principles. There is thus a great variety of approaches to the analysis of network behaviour. This volume aims to offer an overview of the potential of neural network analysis for research applications in the transportation sector. It does not only focus on engineering types of approaches, but also on social science applications in the transport systems examined at VTT in Finland.