| Abstrakt: |
In order to optimize the distribution route of hazardous materials in the city, firstly, considering the uncertain distribution of traffic flow near the route and the impact of traffic volume changes on the transportation risk, a dynamic uncertainty risk assessment model is designed. Secondly, according to the low-carbon requirements of green distribution, the carbon emissions under the conditions of vehicle load and speed changes are calculated. A multi-objective nonlinear optimization model is established with the goal of minimizing transportation risk, transportation cost and carbon emission, and considering the time window and the load limit. Based on model feature analysis, an improved NSGA-II is designed. In the initial stage of the population, random perturbation operation is added, an elite selection strategy based on threshold update is set in the selection process, and an individual negative selection strategy and a variable neighborhood search strategy are designed to improve the algorithm optimization ability. Finally, combined with practical examples to solve, the results show that the improved algorithm has good solution performance. The research results can provide decision support for government departments and transportation enterprises to realize the safe, economical and green distribution of hazardous materials in cities. [ABSTRACT FROM AUTHOR] |
