Open access
Aug 2026
Automated Vehicle Classification for Intelligent Toll Gate Systems Using Convolutional Neural Networks
The experimental results indicate that the ConvNet architecture achieved the most stable classification performance, reaching a validation accuracy of up to 1.000 with lower validation loss fluctuations compared to AlexNet and ResNet under constrained dataset conditions.
Prabowo Mahbub, Winny Purbaratri, Dwi Atmodjo Wp et al.
· bit-Tech · 0 citations