Coding-based traffic warning system using GSM

• Main Authors: Bedruz, Rhen Anjerome, Uy, Aaron Christian P., Quiros, Ana Riza, Bandala, Argel A., Billones, Robert, Torregoza, Mark Lorenze, Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Traffic monitoring—Equipment and supplies; Global system for mobile communications; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1947
• Institution: De La Salle University

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.