碳排放限制下的冷藏集装箱多式联运路径优化
摘要
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.