Applying TRIZ principles in crowd management

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 focused 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 the 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, chosen for this purpose.

[1]  Yangsheng Xu,et al.  Crowd Density Estimation Using Texture Analysis and Learning , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.

[2]  Dirk Helbing,et al.  Self-Organizing Pedestrian Movement , 2001 .

[3]  A. Marana,et al.  Estimation of crowd density using image processing , 1997 .

[4]  Eric W. Marchant,et al.  A computer model for the evacuation of large building populations , 1995 .

[5]  Sergio A. Velastin,et al.  Motion-based machine vision techniques for the management of large crowds , 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).

[6]  A. Schadschneider,et al.  Simulation of pedestrian dynamics using a two dimensional cellular automaton , 2001 .