Transport systems as complex systems they are, share certain characteristics but not necessarily in full. The highway systems, for example, have all, others like the railway networks but a few.
- Adaptability: The agents adapt their behaviors in response to changes in their environment. This occurs both between transport companies, and between travelers and the public authorities that regulate the sector.
- Self-organization is a process where some form of overall order or coordination arises out of the local interactions between smaller component parts of an initially disordered system. Frecuently the process of self-organization in transportation are spontaneous, and there are not controlled by any auxiliary agent outside of the system.
- Some transport systems spontaneously and consistently revert to recognizable dynamic states known as attractors. While they might, theoretically, be capable of exhibiting a huge variety of states, in fact they mostly exhibit the constrained attractor states.
- The transport systems can have abrupt transitions of a wide range of intensities. For a system that is in a self-organised critical state, the magnitude of the next transition is unpredictable, but the long-term probability distribution of event magnitudes is a very regular known distribution. This property is named self-organized criticality.
- One of the earliest known features of complex systems was chaotic dynamics, characterized by extreme sensitivity to initial conditions. This also occurs in transport systems. There is a strong path dependence on design of networks.
- Transport systems are nonlinear because they does not satisfy the superposition principle – meaning that the output of a nonlinear system is not directly proportional to the input.
- In transportation we can observe phase transitions when the system changes suddenly and dramatically (and, often, irreversibly) because a “tipping point”, or phase transition point, is reached.
- Power labs is a functional relationship between two quantities, where a relative change in one quantity results in a proportional relative change in the other quantity, independent of the initial size of those quantities: one quantity varies as a power of another.
The SCCS research group has a wide experience in this field with several projects made with public and private partners.
|Network dynamics is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA), social simulationand multi-agent systems (MAS) within network science and network theory. The ‘Network dynamics’ project of SCCS aims to analyze the evolution of transport networks in Spain applying these techniques.|
|Temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. SCCS is currently working on developing global temporary networks for commercial airlines.|
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