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| 考虑应急保障的危化品道路运输多目标路径优化方法研究 |
| Research on multi-objective path optimization method for hazardous chemical road transportation considering emergency support |
| 投稿时间：2023-08-27 修订日期：2023-10-24 |
| DOI： |
| 中文关键词: 危化品运输 多目标 应急保障 遗传模拟退火 |
| 英文关键词: Transportation of hazardous chemicals Multiple objectives Emergency support level Genetic Simulated annealing |
| 基金项目:湖南省教育厅重点项目(20A192);国家自然科学基金资助(52074118) |
| 作者 | 单位 | 邮编 | | 刘灿 | 湖南科技大学 | 411100 | | 周荣义* | 湖南科技大学 | 411100 |
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| 中文摘要: |
| 为进一步提高危化品道路运输路径优化的合理性，将事故应急保障引入路径优化中。分析了应急保障对路径选择的影响及其确定方法，并把应急保障水平引入风险目标函数中作为补偿系数，在此基础上，构建了运输风险最小、运输时间最短、运输成本最低的危化品道路运输多目标路径选择模型，然后应用遗传模拟退火算法（GASA）进行求解。算例表明，该模型能更加合理科学地选择危化品运输路径，满足运输企业对路径安全性以及经济利益的要求。 |
| 英文摘要: |
| To further improve the rationality of optimizing the road transportation path for hazardous chemicals, accident emergency support is introduced into the path optimization. Analyzed the impact of emergency support on path selection and its determination methods, and introduced the level of emergency support into the risk objective function as a compensation coefficient. Based on this, a multi-objective path selection model for hazardous chemical road transportation with the minimum transportation risk, shortest transportation time, and lowest transportation cost was constructed, and then solved using genetic simulated annealing algorithm (GASA). The calculation example shows that the model can more reasonably and scientifically select the transportation path of hazardous chemicals, meeting the requirements of transportation enterprises for path safety and economic benefits. |
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