Automated toll collection system based on vehicle type classification using sparse-filtered convolutional neural networks with layer-skipping strategy (SF-CNNLS)

• Main Authors: Suryanti, Awang, Nik Mohamad Aizuddin, Nik Azmi
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Physics Publishing 2018
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/21980/1/29.%20Automated%20toll%20collection%20system%20based%20on%20vehicle%20type%20classification.pdf; http://umpir.ump.edu.my/id/eprint/21980/2/29.1%20Automated%20toll%20collection%20system%20based%20on%20vehicle%20type%20classification.pdf; http://umpir.ump.edu.my/id/eprint/21980/; http://iopscience.iop.org/article/10.1088/1742-6596/1061/1/012009/pdf

Automated Toll Collection System (ATCS) is one of the technologies to fulfill the Intelligent Transportation System’s (ITS) aim in providing an efficient road and transportation infrastructure at the expressway. This paper is aimed to provide an accurate and efficient ATCS based on a vehicle type cl...