Stop learning to innovate through trial and error

Learn TRIZ, a methodology developed by Genrick Altshuller for solving problems more efficiently and intuitively.

Overcrowding that happens in places like concerts, stadiums or pilgrimage locations might sometimes cause injury or loss of life. Maintaining the safety of crowd in these places is therefore very important. In addition, increasing the performance of the buildings and structures has always been an important concern. Most of the previous work focus on using new devices and methods for monitoring and management of the crowd but they rarely focus on a comprehensive and structured approach with the purpose of increasing efficiency and safety. In this paper, we explore a Russian “Theory of Inventive Problem Solving”, TRIZ, to see whether its principles can help us to solve or improve overcrowding issues. More specifically we find the contradictions that arise in the context of crowd management and we observe which of categorical solutions suggested by TRIZ might possibly be useful for our problem. Increasing the crowd capacity in a relatively small area, which leads to overcrowding, is one of the common contradictions in crowd management. TRIZ has been suggested as a good method for solving problems which involve contradiction and thus it is chosen for this purpose.

 


 

Author 1: Soo Chin Pin

Soo Chin Pin got his B.Sc. in Computer Science from University Science of Malaysia in 2009. He is currently working as research officer under Dr.Fazilah. He has spent months of works in exploring the TRIZ principles and crowd management.

Author 2: Dr. Fazilah Haron

Dr. Fazilah is a senior lecturer in University Science of Malaysia.  She received her B.Sc. from University of Wisconsin Madison, U.S.A and PhD. from University of Leeds, U.K. Currently her research area is on crowd management. She began to have interest in applying TRIZ principles in crowd management since early of 2009.

Author 3: Dr. Siamak Sarmady

Siamak Sarmady is a PhD candidate of computer science in Universiti Sains Malaysia. His research interests include modeling and simulation of crowd, parallel and distributed simulation and computational cognitive science.

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