Research On Urban Collaborative Distribution Path Optimization Based On Multi-model Electric Logistics Vehicle

Emerging industries such as e-commerce and online consumption are developing rapidly,express delivery volume is growing rapidly,energy consumption is also increasing,and urban distribution is facing environmental protection and efficiency pressures.In response to the increasingly serious energy crisis and environmental pollution,the Chinese government has put forward the concept of "green" logistics,supported the development of electric logistics vehicles and other new energy vehicles,and introduced a number of supportive policies to promote the promotion and application of new energy vehicles,and promoted the development of urban distribution toward green and intelligent.Electric logistics vehicles have the advantages of "zero emission" and high energy efficiency.They play a positive role in solving the problems of environmental pollution and traffic congestion caused by urban distribution by taking advantage of the green environmental protection of electric vehicles.However,compared with traditional fuel vehicles,electric logistics vehicles have limited range,long charging time and other usage restrictions,leading to unreasonable urban distribution organization and low vehicle utilization rate.Therefore,this paper studies the application of multi-model electric logistics vehicles in urban collaborative distribution,and plans a reasonable collaborative distribution path by establishing an optimization model for collaborative distribution path of multi-model electric logistics vehicles.In this paper,the collaborative distribution path optimization of multi-model electric logistics vehicles is studied as follows:(1)Establish a coordinated distribution route optimization model for multi-model electric logistics vehicles.Combined with the characteristics of electric logistics vehicle,the difference between traditional vehicle routing problem and electric logistics vehicle routing problem is analyzed.Considering the constraints such as mileage,load capacity and service time window,the collaborative distribution path optimization model of multi vehicle electric logistics vehicles is established with the minimum total distribution cost as the objective function.(2)A genetic algorithm based on forward insertion heuristic algorithm was designed to optimize the collaborative distribution path model of multi-model electric logistics vehicles.The forward insertion heuristic algorithm is used to insert the customer point and charging station into the distribution path in order to deal with the constraints such as mileage and load capacity.In addition,in order to improve the convergence speed and solution quality of the algorithm,the piecewise natural integer coding method is adopted,and the feasible solution generated by the forward insertion heuristic algorithm is taken as the initial population for global search and optimization.(3)Verify the feasibility and cost and efficiency advantages of the collaborative distribution path optimization model of multi-model electric logistics vehicles.By using the example analysis,through the comparative analysis of collaborative distribution and independent distribution schemes,it is verified that collaborative distribution is more independent than independent distribution,which not only reduces distribution costs,improves customer satisfaction,but also reduces the number of vehicles used,and alleviate the urban environment and traffic pressure;Through the comparative analysis of the single-vehicle and multi-vehicle collaborative delivery schemes,it is verified that multiple vehicles have advantages in shortening the delivery distance and reducing the delivery cost compared with single models.