Risk assessment and hybrid algorithm transportation path optimization model for road transport of dangerous goods

IF 3.2 Q3 TRANSPORTATION

IATSS Research Pub Date : 2025-02-12 DOI:10.1016/j.iatssr.2025.01.003

Qiankun Jiang , Haiyan Wang

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引用次数: 0

Abstract

The current risk assessment methods for dangerous goods roads have the problem of being unable to cope with complex road conditions and the influence of multiple factors. This study extends 9 tertiary indicators from three secondary indicators: personnel factors, vehicle factors, and road factors, to evaluate the transportation risk of dangerous goods. After calculating the weights of each indicator, this study improves the parameters of the particle swarm algorithm using the aggregation and foraging behavior of artificial fish, and uses the improved algorithm to solve the optimal solution for the cost of dangerous goods road transportation. After experimental verification, the improved hybrid algorithm has optimized the path transportation time by 13.9 % compared to a single algorithm model. The total risk of simultaneously improving the algorithm was 0.8863, and the total transportation distance was 861 km, both lower than other algorithms. The comprehensive analysis shows that the established model is reasonable, and the designed improved hybrid algorithm can improve the efficiency of the transportation industry, while also contributing to the improvement of the current cost status of dangerous goods road transportation.

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道路危险货物运输风险评估及混合算法运输路径优化模型

现有的危险品道路风险评估方法存在着无法应对复杂路况和多因素影响的问题。本研究从人员因素、车辆因素、道路因素三个二级指标延伸出9个三级指标，对危险品运输风险进行评价。在计算各指标的权重后，利用人工鱼的聚集觅食行为对粒子群算法的参数进行改进，并利用改进后的算法求解危险品道路运输成本的最优解。经过实验验证，改进的混合算法比单一算法模型优化了13.9%的路径运输时间。同时改进算法的总风险为0.8863，总运输距离为861 km，均低于其他算法。综合分析表明，所建立的模型是合理的，所设计的改进混合算法可以提高运输行业的效率，同时也有助于改善目前危险品道路运输的成本状况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IATSS Research TRANSPORTATION-

CiteScore

6.40

自引率

6.20%

发文量

审稿时长

42 weeks

期刊介绍： First published in 1977 as an international journal sponsored by the International Association of Traffic and Safety Sciences, IATSS Research has contributed to the dissemination of interdisciplinary wisdom on ideal mobility, particularly in Asia. IATSS Research is an international refereed journal providing a platform for the exchange of scientific findings on transportation and safety across a wide range of academic fields, with particular emphasis on the links between scientific findings and practice in society and cultural contexts. IATSS Research welcomes submission of original research articles and reviews that satisfy the following conditions: 1.Relevant to transportation and safety, and the multiple impacts of transportation systems on security, human health, and the environment. 2.Contains important policy and practical implications based on scientific evidence in the applicable academic field. In addition to welcoming general submissions, IATSS Research occasionally plans and publishes special feature sections and special issues composed of invited articles addressing specific topics.