A pareto-based multi-objective network design approach for mitigating the risk of hazardous materials transportation

Men, Jinkun; Chen, Guohua; Zhou, Lixing; Chen, Peizhu

doi:10.1016/j.psep.2022.03.048

Cited by 14 publications

(2 citation statements)

References 71 publications

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“…The risk of hazardous chemicals transportation is usually expressed as the product of the probability of the accident and the consequences of the accident [36]. The probability of hazardous chemicals road transportation accidents varies dynamically with the loading of the transport vehicle as well as with different road segments and times [15,37,38]. In Equation ( 5), α and β are constant values that depend on the type of hazardous chemicals [39]:…”

Section: Transportation Riskmentioning

confidence: 99%

Route Optimization for Hazardous Chemicals Transportation under Time-Varying Conditions

Zou,

Kang

2024

Sustainability

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Since accidents of hazardous chemicals transportation will cause serious loss to the surrounding environment and lives and properties, this paper studies the transportation route optimization problem of hazardous chemicals under dynamic time-varying conditions. Combined with the goal of green sustainable development, a multiobjective nonlinear optimization model is constructed to minimize the transportation risk, transportation cost, and carbon emissions generated in the transportation. The model is solved by the improved Fast Non-Dominated Sorting Genetic Algorithm with Elite Strategy (NSGA-II) algorithm. The effectiveness of the model and the algorithm are tested on the Sioux Falls network. The experimental results show that under time-varying conditions, a vehicle’s departure at different times will generate different transportation costs and risks. Therefore, enterprises need to rationally arrange the departure time of vehicles according to the time windows of customer nodes and road conditions. In additio, from the relationship between the optimization objectives, in order to achieve green, sustainable and low-risk transportation, enterprises should first reduce their transportation costs.

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Section: Transportation Riskmentioning

confidence: 99%

Route Optimization for Hazardous Chemicals Transportation under Time-Varying Conditions

Zou,

Kang

2024

Sustainability

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“…MOO methods have already been widely utilized in various fields, such as transportation, engineering design, energy management, and environmental sustainability, in order to save time and costs [8–14] . However, in materials science, the MOO remains an active area of study to find materials with optimal properties in an accelerated manner.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective optimization and its application in materials science

Shi,

Lookman,

Xue

2023

Materials Genome Engineering Advances

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Optimizing more than one property is inevitable in designing new materials; however, some properties are usually improved at the expense of others. Multi‐objective optimization methods in engineering and computer science have proven to be an effective means to optimize several different properties simultaneously. Here, we reviewed these approaches including scalarization, evolutionary algorithms, and especially Bayesian optimization. Their promising applications to a number of materials problems are also discussed in the paper.

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The impact of accidents during the transport of dangerous good, on people, the environment, and infrastructure and measures for their reduction: a review

Stojanović

Boskovic²,

Petrović

et al. 2023

Environ Sci Pollut Res

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A pareto-based multi-objective network design approach for mitigating the risk of hazardous materials transportation

Cited by 14 publications

References 71 publications

Route Optimization for Hazardous Chemicals Transportation under Time-Varying Conditions

Route Optimization for Hazardous Chemicals Transportation under Time-Varying Conditions

Multi‐objective optimization and its application in materials science

The impact of accidents during the transport of dangerous good, on people, the environment, and infrastructure and measures for their reduction: a review

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