A Review Study on Urban Planning & Artificial Intelligence
Kamal Jain1, Payal2

1Dr. Kamal Jain, Professor, Department of Civil Engineering, Indian Institute of Technology, Roorkee, India
2Payal, Lecturer, Department of Computer Science, Guru Nanak Khalsa Institute of technology & management Studies, Yamunanagar, India
Manuscript received on October 04, 2011. | Revised Manuscript received on October 19, 2011. | Manuscript published on November 05, 2011. | PP: 101-104 | Volume-1 Issue-5, November 2011. | Retrieval Number: E0160081511/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: AI Techniques are best techniques for dealing with complex and dynamic problems of urban studies. They give a better way for analysis of urban growth. Major objective of this study is to review recent developments in the field of urban planning & AI. The purpose of this article is to explore how artificial techniques have been applied for urban dynamic planning processes. For this, the authors have reviewed the application of AI techniques in urban land dynamics. This paper discusses how cellular Automata, Fuzzy Logic, Neural Networks have been applied for Urban Planning due to the unpredictability, instability, uncomputability, irreducibility and emergence that exists in the process of urban evolution. The authors conclude that AI based approaches offer possible solutions for urban dynamics.
Keywords: Cellular Automata, Fuzzy Logic, Neural Networks.