The Open Automation and Control Systems Journal

2014, 6 : 380-386
Published online 2014 December 26. DOI: 10.2174/1874444301406010380
Publisher ID: TOAUTOCJ-6-380

On Graduate Students-centered English Teaching Based on PBL in the Big Data Era

Zhang Huiqin and Wu Junmin
School of Safety and Environment Engineering, The Capital University of Economics and Business, Flower-Town, Fengtai District, Beijing 100070, China.

ABSTRACT

As an effective approach to research and to analyse public safety events, safe behaviour simulations are widely adopted in this research area. However, the complexity of safe group behaviors brings a lot of challenges to existing unitary pattern algorithms. To improve the accuracy of describing group safety behaviors in panic, this paper proposes a multi drive force model framework, which analyses stimulation factor and emotion factor in the process of group safety behavior evolutions. And to improve the efficiency of multi-agent based simulation systems, an indexed Multi-agent based algorithm is also put forward in this paper. In the end, the feasibility and efficiency of the proposed framework are verified by some experimental results.

Keywords:

Algorithm, Multi-drive force model, Safe behavior, Simulation.