Optimization Of Urban Distribution Vehicle Scheduling Considering Carbon Emissions

With the improvement of Internet technology,the way consumers shop has changed as products of the digital age such as online shopping,takeaway platforms and new retail continue to emerge.People are used to shopping on their mobile phones without leaving home.The new technology has greatly met the needs of the people in the new era,but at the same time has intensified the pressure on the transportation and distribution of goods.New breakthroughs have been achieved both in the transport of goods over long distances and in urban distribution over short and medium distances.The popularity of online shopping behaviour and the increased demand for takeaway shopping,for example,and the influx of a large number of orders,have made the original problem of distribution at the end of the city more prominent.However,the distribution costs remain high due to unreasonable planning,low load distribution rates and high empty load rates by logistics companies on goods distribution routes.In order to improve the ratio of freight vehicles and personnel to the demand for distribution goods,most logistics enterprises choose to increase the amount of investment in distribution vehicles,which temporarily meets the demand for capacity,but also exacerbates traffic congestion.At the same time,as the country vigorously calls for and advocates the development of a low-carbon economy,the issue of carbon emissions has received more and more attention.Based on this,this paper selects the urban end-distribution vehicle dispatching problem as the research object,through the reasonable dispatching arrangement of enterprise vehicles,the number of vehicles used can be reduced;converts carbon emissions into carbon emission costs,takes the comprehensive cost composed of fuel consumption cost,carbon emission cost and fixed cost as the target,establishes the optimization model of urban distribution vehicle dispatching considering carbon emissions,and verifies the optimization of vehicle dispatching considering carbon emissions through actual cases The effect of vehicle scheduling optimization considering carbon emission is verified through practical cases to achieve the goal of low carbonization.This paper focuses on the characteristics of urban logistics distribution,considering factors such as time window,vehicle type and real-time load,and separately studies two cases of deterministic and uncertain demand in urban distribution.Firstly,an improved ant colony algorithm is designed to solve the model in the case of deterministic demand to verify the validity of the model,and the sensitivity analysis of vehicle models is used to verify the impact of real-time load weight on carbon emissions;on this basis,urban distribution vehicle scheduling under uncertain demand is considered,and triangular fuzzy numbers are introduced as the fuzzy demand of customers for calculation,and the minimum driving distance and minimum total cost The same algorithm was used to calculate two models of deterministic and uncertain demand,and the validity of the models was verified.