Processing Collective Categorical Transport Planning Considering the Carbon Footprint

Yu Sung Hong

Storm King School

Abstract

 The delivery system is inevitable as the consumers and the suppliers are far apart. The problem here is that the vehicles being used in the process are emitting excessive amounts of carbon. As atmospheric CO2 has been causing significant environmental issues in the 21st century, we propose this new method of implementing meeting points in the delivery process to optimize carbon emissions. Consideration of carbon emissions not only benefits the environment but also benefits the firms. The focus of this study is on considerations to consider when performing a collective traveling planning (CTP) query. This query collects the objects satisfying the specific condition via a hub and allows them to arrive from the starting point to the endpoint. The contribution of this paper can be considered as two significant points. As the already existing CTP does not consider the category, we redefined the problem regarding the class. Also, we proposed a method that reduces the time complexity. We proved that the proposed practices are acceptable for each process by analyzing time complexity and providing examples. In conclusion, we presented that the proposed methods are applicable in the real world with evidence. Moreover, the paper suggests more significant points about this problem.

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