Participants in our research group

    本课题组参与人员：

尹凌、  於琦

Keywords

    关键词:

agent-based model, emergency evacuation, knowledge database, mobile phone data, population distribution.

Description

    简介:

• Formulate the research scheme to solve the urban emergency evacuation optimization scheme based on agent simulation. 制定研究方案，求解基于agent仿真的城市应急疏散最优化方案。

Developing optimal evacuation plans based upon agent-based evacuation simulation can be dramatically time consuming. To shorten the computation time, this study develops a knowledge database storing evacuation plans for typical population distributions generated by mobile phone location data. Then we use the knowledge database prepared offline to accelerate the real-time processes searching for near-optimal evacuation plans. Our case study demonstrates that the proposed approach can reduce the computation times by the average of 84.6%, meanwhile guaranteeing an acceptable near-optimal solution.

Publication

    论文:

Ling Yin, Jie Chen, Hao Zhang, Zhile Yang, Qiao Wan, Li Ning, Jinxing Hu, Qi Yu. 2019. Improing emergency evacuation planning with mobile phone location data. Environment and Planning B: Urban Analytics and City Science. (SSCI, JCR二区) (In press)

Ling Yin, Jinxing Hu, Qi Yu, 2015. Accelerating agent-based emergency evacuation planning using a knowledge database based on population distribution regularity. In Proceedings of the 13th International Conference on GeoComputation. (EI)

Cooperations

    合作单位：

	深圳市科技创新委员会