Computational intelligence for modeling of asphalt pavement surface distress

Due to the extension of road networks and the complexity of problems in various parts of the pavement management system (PMS), the traditional system and classical techniques cannot create an effective system. Accordingly, the application of automatic and expert systems in PMS is unavoidable to create a more efficient and optimal system. The application of computational intelligence (CI) in PMS leads to solve a complex problem and create more expert and optimal systems. This chapter, first, presents a brief explanation of CI frameworks (artificial neural network, fuzzy logic, evolutionary computation, swarm intelligence, and hybrid method), then provides a big-picture from CI frameworks and techniques. Also, it describes the methodology of the newest and more efficient techniques in the different applications of CI, such as learning from the data, solving the problem with uncertainty, and optimization. Finally, it provides a comprehensive view of the CI applications in a different part of PMS.