Spatiotemporal representation learning for rescue route selection: An optimized regularization based method

作者：

Highlights：

• An optimized regularization based framework (OpRe-RRS) is proposed for solving the rescue route selection problem.

• OpRe-RRS increases the rescue speed of ambulances without increasing rescue resources.

• An example about its application in Nanjing is given to prove the effectiveness of the method.

摘要

•An optimized regularization based framework (OpRe-RRS) is proposed for solving the rescue route selection problem.•OpRe-RRS increases the rescue speed of ambulances without increasing rescue resources.•An example about its application in Nanjing is given to prove the effectiveness of the method.

论文关键词：Spatio-temporal Data,Ambulance,Rescue Route Selection,Regularization

论文评审过程：Received 30 September 2020, Revised 4 April 2021, Accepted 9 June 2021, Available online 19 June 2021, Version of Record 11 July 2021.

论文官网地址：https://doi.org/10.1016/j.elerap.2021.101065