On the issue about optimizing the indices of object detection for YOLOv3 model in traffic scenes, we make the model indices further optimized by combining various strategies and tricks in the process of training, meanwhile, and we propose an improved anti-occlusion strategy based on Cutout. The optimization does not involve changes of the original YOLOv3 network structure, and there is no impact on FPS after optimizing. Comparison experiments are conducted on both PASCAL VOC and KITTI 2D, the obtained results show that these strategies and tricks can significantly improve the performance of YOLOv3 model. Full code has been released, click to view or download at: https://github.com/LiweiDai/YOLOv3-training-optimization-with-applying-ACDC.