A collision avoidance behavior model for crowd simulation based on psychological findings

2013 ◽  
Vol 24 (3-4) ◽  
pp. 173-183 ◽  
Author(s):  
Jin Hyoung Park ◽  
Francisco Arturo Rojas ◽  
Hyun Seung Yang
2009 ◽  
Vol 17 (3) ◽  
pp. 217 ◽  
Author(s):  
Cherif Foudil ◽  
Djedi Noureddine ◽  
Cedric Sanza ◽  
Yves Duthen

Author(s):  
Ji Wang ◽  
Tianlu Mao ◽  
Xiyuan Song ◽  
Shaohua Liu ◽  
Hao Jiang ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Qingyang Xu ◽  
Chuang Zhang ◽  
Ning Wang

The vessel collision accidents cause a great loss of lives and property. In order to reduce the human fault and greatly improve the safety of marine traffic, collision avoidance strategy optimization is proposed to achieve this. In the paper, a multiobjective optimization algorithm NSGA-II is adopted to search for the optimal collision avoidance strategy considering the safety as well as economy elements of collision avoidance. Ship domain and Arena are used to evaluate the collision risk in the simulation. Based on the optimization, an optimal rudder angle is recommended to navigator for collision avoidance. In the simulation example, a crossing encounter situation is simulated, and the NSGA-II searches for the optimal collision avoidance operation under the Convention on the International Regulations for Preventing Collisions at Sea (COLREGS). The simulation studies exhibit the validity of the method.


2007 ◽  
Vol 184 (4) ◽  
pp. 457-468 ◽  
Author(s):  
Régis Lobjois ◽  
Nicolas Benguigui ◽  
Jean Bertsch ◽  
Michael P. Broderick

Author(s):  
Tsuyoshi Taki ◽  
◽  
Junichi Hasegawa

To evaluate or predict human behavior, extraction of characteristic patterns from actual crowd scenes and crowd simulation in different situations based on general human behavior model are needed. We use changes in a spatial feature formed by individual movement called a "dominant region", a type of dynamic personal space. In the paper, a basic concept and calculation of the dominant region and its applications are presented. Experiments show that the proposed feature is useful in evaluating and simulating human behavior.


2013 ◽  
Vol 2013 (0) ◽  
pp. _S181013-1-_S181013-5
Author(s):  
Kazumoto MORITA ◽  
Toshiya HIROSE ◽  
Tadashi HATANO ◽  
Toru KOJIMA ◽  
Nobuhisa TANAKA

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