Research on integrated optimization of urban logistics cargo loading and transportation paths

With the booming development of e-commerce, the demand for urban logistics is increasing day by day. Traditional logistics distribution research is difficult to solve the integrated optimization problem of cargo loading and transportation routes, which to some extent limits the overall efficiency of logistics. This article takes the integration problem of vehicle routing and vehicle loading as the optimization object, considering the comprehensive analysis and integrated optimization of vehicle loading and vehicle routing problems. Through genetic algorithm analysis, it was found that the optimized delivery mode has a more balanced vehicle load capacity, shorter driving mileage, and lower single trip transportation costs compared to the empirical mode.