数学与统计学院学术报告[2021] 130号

(高水平大学建设系列报告630号)

报告题目: Shortest path planning and dynamic rescue forces dispatching for urban waterlog disasters

报告人：杨丽丽 教授  （南方科技大学）

报告时间：12月02日15:10-16:10

腾讯会议：928884267 　

报告内容：

An urban waterlog disaster can pose a serious threat to human life and property safety. This paper makes shortest path planning and dynamic scheduling of rescue forces, mainly about firefighters and fire engines, for urban waterlog disasters triggered by short-term intensive rainfall. A two-step approach is proposed. The first step is to acquire the optimal travel times from fire stations to local flooding sites under the extension of floods. A path selection model has been created for rescue vehicles in times of floods. A customized A* algorithm is developed to solve the model with a high search efficiency. Additionally, a preference-based customized A* algorithm is designed to select paths for which users’ preferences is considered. The second step is to make dynamic dispatching of rescue forces to flooding sites. The demand for firefighters at each flooding site is estimated based on the population density and the detected real-time waterlog depths. The optimal travel times obtained in the first step are used as input in a bi-objective dynamic dispatching model. A case study in Futian District of Shenzhen, China is presented to demonstrate the practicability of our rescue planning. This study has been financially supported by National Key Project, which has built an emergency rescue system for urban waterlog disasters, providing quick auxiliary decision support for decision-makers.

报告人简历：

Lili Yang is currently full Professor in Southern University of Science and Technology, Shenzhen. Her research interests include big data analysis, decision science, multi-objective optimization and emergency model building. Her academic achievements have been acknowledged by the UK IT Industry Awards for Innovative and Entrepreneurship, Times Higher Education Awards for International Impact. She is Fellow in the British Computer Society. Prof. Yang obtained her MSc in Information Technology at Loughborough University and then earned her PhD of Computer Science in the UK. She has published extensively on prestigious journals such as EJOR, Applied Energy, Environment Research Letters, and so on. She was invited to give a seminar for senior staff of the Cabinet Office in London and interviewed by BBC Radio about her research projects. Her research has generated impact in the society.

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           　　　　　　　　　　　　　 2021年11月30日