1. 基于实时数据的应急交通疏散仿真方法研究.
- Author
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苑盛成, 王刚桥, 马晔风, and 张辉
- Abstract
Emergency management is an issue of complex systems which lack effective solutions. Due to the challenges of the low frequency, unclear evolving models and high uncertainty during an emergency, traditional simulation-based models and data-based models, which are widely used in normal states, are not very applicable in emergencies. In this paper, a simulation method is proposed to provide simulation systems with the adaptability of simulating normal and emergency states, through the combination of simulation models and big data technologies. Using a scenario of the large-scale traffic evacuation as an example, the simulation method improves the accuracy and the diversity of prediction, and supports decisions of the emergency management for traffic evacuations. [ABSTRACT FROM AUTHOR]
- Published
- 2015