Implementation vehicle classification on distributed traffic light control system neural network based

Big Zaman; Wisnu Jatmiko; Adi Wibowo; Elly Matul Imah

Implementation vehicle classification on distributed traffic light control system neural network based

Closed

Big Zaman, Wisnu Jatmiko, Adi Wibowo, Elly Matul Imah

2011 ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings Conference paper Cited by 4

Abstract

Distributed Traffic System Control System is a real-time adaptive traffic light system with traffic condition for minimize the probabilty of traffic congestion. So far, the research of Distributed Traffic Light Control System has been developed with Principle Component Analysis (PCA) as the recognition method to identify vehicle object. The recognizition can be optimized using classification system that can identify an object to more spesific class as large cars like bus and truck, or minicars like van, jeep, and sedan. Classification systems has be implemented with neural network algorithm specifically Backpropagation, Fuzzy Learning Vector Quantization (FLVQ), and Fuzzy Learning Quantization Particle Swarm Optimization (FLVQ-PSO). © 2011 Universitas Indonesia.

Affiliations

Faculty of Computer Science, Universitas Indonesia, Indonesia; Faculty of Mathematics and Natural Science, Diponegoro University, Indonesia; Mathematics Department, Universitas Negeri Surabaya, Indonesia

Research at a Glance

Research at a Glance

Topics & SDG Alignment

Collaboration

Author Profile (Selected)

References Overview

Journal & Source

Metadata & Integrity