LIU Song, SHAO Yiming, PENG Yong. Optimization of Multimodal Transport Paths for Refrigerated Containers Under Carbon Emission Restriction[J]. Applied Mathematics and Mechanics, 2020, 41(2): 204-215. doi: 10.21656/1000-0887.400159
Citation: LIU Song, SHAO Yiming, PENG Yong. Optimization of Multimodal Transport Paths for Refrigerated Containers Under Carbon Emission Restriction[J]. Applied Mathematics and Mechanics, 2020, 41(2): 204-215. doi: 10.21656/1000-0887.400159

Optimization of Multimodal Transport Paths for Refrigerated Containers Under Carbon Emission Restriction

doi: 10.21656/1000-0887.400159
Funds:  The National Science Fund for Young Scholars of China(61803057)
  • Received Date: 2019-05-06
  • Rev Recd Date: 2019-07-17
  • Publish Date: 2020-02-01
  • To cut the multimodal transportation cost of refrigerated containers under carbon emission restriction, save energy and reduce carbon emission accordingly, efficient path selection is essential. From the perspective of carbon emission limit, based on the points that in a multimodal transport network, the railway and waterway transport modes are restricted by scheduling timetables and the refrigerated containers involve cooling costs, cargo damages and carbon emissions, a path optimization model was established with the lowest total cost. All the costs of transportation, transshipment, refrigeration and cargo damage, dynamically changing with the scheduling timetable, were considered. In addition, a genetic algorithm was designed and applied to example analyses. The results show that, the proposed model and algorithm can quickly select the transportation plan with the least cost according to the requirements of the decision maker, thus providing a useful decision support.
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