Game analysis of hazardous chemicals transport route selection based on reinforcement learning-model

Jun Wu, Dan Wang, Jian Li, Feng Mei Yang*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

7 引用 (Scopus)

摘要

Many hazardous chemicals transportation accidents occur in China in recent years. One of the reasons is that the transport company often ignores the transportation safety when transporting the hazardous chemicals. In order to improve the transportation safety, one of the effective policies for the government is to set the tax policy for the different routes. In this paper, the model of hazardous chemicals transport route selection with tax policy is established. Reinforcement learning is introduced into this paper to model the behavior of transport company. The simulation example illustrated that the transport company is willing to choose the road with tax policy, which reduces the risk of hazardous chemicals transport.

源语言英语
页(从-至)388-393
页数6
期刊Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
35
2
出版状态已出版 - 25 2月 2015
已对外发布

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