Research On Green Vehicle Routing Problem Of Fresh Agricultural Products Under Traffic Restriction Policy

With the rapid development of the global economy,carbon emissions have increased rapidly,and the transportation industry has become the fastest growing area of carbon emissions.Since the country put forward the dual-carbon goal,the heat of green vehicle route optimization has continued to rise.At the same time,the number of urban motor vehicles has continued to grow,and the problem of urban road congestion has become increasingly serious.Local governments have issued relevant policies to limit the traffic of trucks.However,with the improvement of residents’ living standards,people have higher and higher requirements for the quality of fresh agricultural products.Under the urban truck restriction policy,how to efficiently complete the distribution task of fresh agricultural products while ensuring the high quality of fresh agricultural products,reduce carbon emissions,reduce distribution costs,and improve logistics efficiency has become the focus of this paper.In view of this,this paper focuses on the path optimization of green vehicles for fresh agricultural products under the restriction policy.First of all,according to the urban truck restriction policy,two types of vehicle distribution schemes based on hybrid fleet and pure electric logistics vehicle fleet are constructed;Secondly,in the mixed distribution scheme of traditional fuel vehicles and pure electric logistics vehicles,taking economic and environmental benefits into account,a fresh agricultural product distribution cost model with the goal of minimizing carbon emission cost,transportation cost,fixed cost and soft time window penalty cost is established;At the same time,in the distribution scheme of pure electric logistics vehicles,considering the situation that multiple electric logistics vehicles participate in the distribution at the same time and take charge on demand,the distribution cost model of electric logistics vehicles is established with the goal of minimizing the charging cost,fixed cost and soft time window penalty cost;Finally,the above two models are discussed and studied from three aspects: restricted area,restricted time and charging strategy.In order to solve the above problems,this paper proposes an improved ant colony algorithm to analyze the sensitivity of the relevant parameters of the model,thus verifying the effectiveness of the algorithm.In the solution part of the calculation example,this paper considers the truck restriction policy by region,time period and vehicle type,and proposes two distribution schemes: one is to study and discuss the impact of the truck restriction policy on the vehicle distribution scheme of logistics enterprises by changing the area and time of the restriction area when the traditional fuel vehicles and pure electric logistics vehicles are mixed for distribution,so as to reasonably allocate vehicle resources for enterprises,reduce carbon emissions,and reduce distribution costs,Improve logistics efficiency and provide reference opinions;One is for the distribution of pure electric logistics vehicles.This paper not only verifies the relevant conclusions of the mixed distribution model by changing the area and time of the restricted area;Through the double-layer charging model built in Chapter 4,the on-demand charging mode proposed in this paper is compared with the previous charging mode based on the proportion of battery capacity.With the help of numerical experiments,the cost advantage of on-demand charging mode is strongly proved,providing a reference scheme for enterprises to reasonably arrange vehicle charging activities.