Complexity science technology will bring opportunities for the continuous expansion of new simulation research fields, especially for human simulation, social simulation, and human brain simulation, and provide unprecedented opportunities for simulation for social governance, prediction, and urbanization. The development of complexity science technology provides an important opportunity to use modeling and simulation methods to study new virtual information spaces. As we all know, the advantage of modeling and simulation technology is to provide a bridge from the real world to the virtual space, which provides a substitute for studying the unknown fields of human society and the physical world.

However, virtual information spaces are a completely new virtual space that are completely different from the physical world, and human society. This virtual space is not only "human, machine, object”, it is a space where the three notions are combined, and there are also the characteristics of multi-layer mesh and cross-domain association. The study of this new virtual space is a complex and current scientific research area. On the basis of making full use of the results of complexity science research, using parallel systems, embedded simulation, and other methods to build a bridge to this new type of space, they provide a virtual alternative for the interaction or behavioral characteristics between the research. Using the results of complexity science to constantly modify and test the models built are issues that need to be addressed for the further development of modeling and simulation science.

The aim of this Special Issue is to collate original research articles and review articles with a focus on up-to-date technology related to computer simulation for complexity issues in smart cities and serves as a forum for researchers all over the world to discuss their work and recent advances in this field. In particular, this Special Issue aims to showcase the most recent achievements and developments in complexity problem discovery and exploration. Both theoretical studies and state-of-the-art practical applications are welcome for submission.

Potential topics include but are not limited to the following:

• Development of the science of complexity in smart cities
• New generation of information technology and big data technology under innovative 2.0 environment
• Big data strengthens open data and social involvement in smart cities
• Open data and privacy protection under big data background
• Complexity problems handled by numerical simulation in smart cities
• Complexity problems handled by artificial intelligence in smart cities
• Complex fluid dynamics handled by computer simulation technology
• Complex modeling solutions handled by computer situation technology in smart cities
• Mechanic systems handled by computer simulation technology
• Control system handled by computer simulation technology
• Internet of Things handled by computer simulation technology in smart cities