Coding-based traffic warning system using GSM
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Conference Proceeding
Source Title
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018
Publication Date
3-12-2019
Abstract
This study presents a coding-based traffic warning system using the GSM technology. With a specific traffic density of cars, the implemented system decides and sends a warning message alerting the nearby drivers about the traffic condition along the Vito Cruz Taft Avenue Street. The warning messages were differentiated in 5 categories. The system in particular, was modelled with source encoding (Huffman), and Channel encoding (Hamming), and that the GSM technology was applied thereafter. The traffic warning system modelled was found to have an average compression ratio of 59.37%, and BER of 0.916%. These results show that the system is well-suited for real application of traffic warning system as it provided a reliable means of communication. © 2018 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2018.8666351
Recommended Citation
Bedruz, R., Uy, A. P., Quiros, A., Bandala, A. A., Billones, R., Torregoza, M., & Dadios, E. P. (2019). Coding-based traffic warning system using GSM. 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018 https://doi.org/10.1109/HNICEM.2018.8666351
Disciplines
Manufacturing
Keywords
Traffic monitoring—Equipment and supplies; Global system for mobile communications
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