Multi-Objective Path Optimization of Highway-Railway Multimodal Transport Considering Carbon Emissions
Source abstract
Abstract
With the increase in carbon emissions from railway transit, green transportation has attracted worldwide attention due to its low pollution and low consumption. In order to improve the transportation efficiency of multimodal transport and reduce carbon emissions, this paper makes a systematic study on the comprehensive optimization model and method of multiple transport tasks and transport modes considering carbon emissions. Firstly, an optimization model is established with transportation distance, transportation time, and carbon emission as transportation objectives. Secondly, an improved fuzzy adaptive genetic algorithm is designed to adaptively select crossover and mutation probabilities to optimize the path and transportation mode by using population variance. Finally, an example is designed, and the method proposed in this paper is compared with the ordinary genetic algorithm and adaptive genetic algorithm, which proves the proposed model and algorithm are effective. In conclusion, it is found that the present multi-objective optimization model based on the improved genetic algorithm can adjust multimodal transport plans and reduce carbon dioxide emissions, which provides a reference basis for logistics enterprises to carry out multimodal transport.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Vehicle emissions and performance · Transportation Planning and Optimization · Maritime Transport Emissions and Efficiency
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China
School of Science, East China Jiaotong University, Nanchang 330013, China
Funding
National Natural Science Foundation of China · State Key Development Program for Basic Research of China · Opening Foundation of State Key Laboratory of Integrated Automation in Process Industry
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