| In September 2020,our country set a double carbon target for the first time,with the target content proposing to reach the peak by 2030 and achieve carbon neutrality by 2060.Transportation,as the main output part of China’s carbon emissions,accounts for 10% of the total.With road transportation accounting for about 70% to 80% of the overall carbon emissions of the transportation industry.Logistics and distribution is an important part of it.Reducing carbon emissions in logistics and distribution is one of the effective ways to achieve the goal of carbon neutrality.Modern drones can already participate in the distribution of logistics parcels,and their use of electric energy.Unlike the way of diesel fuel supply for trucks,has green and environmentally friendly characteristics.So they are actively used in logistics distribution,and the way of collaborative distribution between trucks and drones has also come into being.This new approach provides new ideas for carbon reduction and emission reduction in the transportation industry.This paper constructs a low-carbon path model of truck-drone collaborative distribution based on this.Classifies the model according to the different participation of drones in the distribution process.The model takes into account the actual situation that the range of UAVs is increasing with the development of technology.The results of solving different models for carbon emissions and delivery time are compared and analyzed to draw relevant research conclusions.Firstly,the models are classified into three categories according to the participation of UAVs in delivery,namely VRP,VRP-DWO and VRP-DWT models.In the VRP model,there is no UAV participation.In the VRP-DWO model,UAVs can deliver only one customer point in a single trip.In the VRP-DWT model,UAVs can deliver up to two customer points in a single trip.Then a dual-objective model with carbon emission and delivery time is constructed.The solution with the smallest carbon emission is selected to participate in the analysis in the resulting Pareto solution set to study the effect of different participation of UAVs on carbon emission in the delivery process.The validity of the model is verified using the LINGO optimizer.Secondly,the model is solved using NSGA-II and the actual situation of different customer distribution characteristics is considered in the solution process.R,C and RC data in Solomon’s arithmetic case are selected as the experimental data in this paper.The model with the highest drone participation VRP-DWT is used as an example to solve the arithmetic case with different customer distribution characteristics.It is concluded that the distribution model with drone participation is more applicable to the random distribution and semi-aggregated distribution of customer groups.In summary,this paper investigates the path optimization model in which a drone can deliver two customer points in a single trip.The study shows that adding carbon emission target constraints to the objective function can effectively reduce carbon emissions in the distribution process.Drone participation can effectively reduce carbon emissions in logistics and distribution.Carbon emissions will decrease with the increase of drone participation.In the customer groups showing random and semi-aggregate distributions,the participation of drones can not only reduce carbon emissions but also effectively shorten the delivery time.The research in this paper provides a theoretical basis for the path optimization problem after the participation of drones in logistics distribution.Reflects the important role of the participation of drones in logistics distribution in improving the distribution efficiency,which can help logistics enterprises deepen their understanding of the importance of the participation of drones in logistics distribution on carbon reduction and emission reduction.As to promote logistics enterprises to improve the distribution mode and strive for the early realization of the dual carbon goal. |
