Research on the decision-making model of multi-stage standby site selection for railway dangerous goods transportation under the condition of uncertain demand

Jing Wang; Yu Wang; JianXiang Yan

doi:10.1117/12.2627787

14 March 2022 Research on the decision-making model of multi-stage standby site selection for railway dangerous goods transportation under the condition of uncertain demand

Jing Wang, Yu Wang, JianXiang Yan

Author Affiliations +

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121650J (2022) https://doi.org/10.1117/12.2627787
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

In order to deal with the emergency of railway dangerous goods transportation, provide decision support for decision makers to design robust emergency facilities under uncertain environment, consider uncertain demand and multi-stage standby coverage of emergency facilities, establish a robust optimization model of multi-stage reserve coverage under uncertain railway dangerous goods transport demand, compare and analyze the experimental results under different safety parameters. A simulation example is given to verify the feasibility of the model and algorithm. The results show that the model can effectively solve the problem of constructing the location and layout network of emergency facilities for railway dangerous goods transportation under uncertain demand, and can ensure that the location decision has good robustness. Decision makers can determine the optimal location scheme according to their conservative degree, risks caused by uncertain factors and reality.

Citation Download Citation

Jing Wang, Yu Wang, and JianXiang Yan "Research on the decision-making model of multi-stage standby site selection for railway dangerous goods transportation under the condition of uncertain demand", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121650J (14 March 2022); https://doi.org/10.1117/12.2627787

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