过境安全预测人员配置模型

Yong Zheng, Shubham Madke, V. Dogo, Yash Agrawal
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摘要

Digby's security是一家提供安全和调查服务的公司。他们将工作人员分配到中转地点,监控和实时报告犯罪或事件。然而,有这么多的火车和地铁站,而他们的工作人员数量有限。为了解决这个问题,我们建立了预测模型来估计何时何地更可能发生事故,以便他们可以在正确的时间将员工分配到正确的地点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Staffing Model for Transit Security
Digby's security is a firm that offers security and investigation services. They assign their staffs to transit locations, monitor and report real-time crimes or incidents. However, there are so many train and metro stations, while they have limited number of staffs. To address this issue, we build predictive models to estimate when and where are more possible to have incidents so that they can assign the staffs to the right place at the right time.
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