In order to plan the vehicle distribution path more reasonably, we use the minimum number of vehicles and the shortest path length as possible to complete the distribution task of the entire customer point. The paper proposes a particle swarm algorithm based on a full load demand split vehicle path ( (F-SDVRP) planning strategy, in the distribution process, by ensuring that any fully-loaded distribution vehicle has “optimal” distribution path for delivery after starting from the distribution point to achieve the “optimal” requirement of the total distribution path, and the particle swarm optimization algorithm is used to continuously optimize the distribution order of the entire customer point. The simulation results show that the vehicle planning strategy proposed is better than the solution method in the participating comparative literature when solving the related customer point distribution problem. With the same number of delivery vehicles, the maximum path length reduction rate reaches 8.21 %. In addition, the simulation results of the examples also show that the optimization results of the strategy are stable, and the particle swarm algorithm can solve the problem of split-vehicle path planning with full load requirements.