An Intelligent Road Traffic Information System using Text Analysis in the Most Congested Roads in Metro Manila

• Published in: 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) pp. 1 - 6
• Main Authors: Bondoc, Erika Ritzelle P., Caparas, Francis Percival M., Macias, John Eddie D., Naculangga, Vileser T., Estrada, Jheanel E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2018
• Subjects: Classification algorithms; Feature extraction; Latent Dirichlet Allocation; Machine learning algorithms; Named Entity Recognition; Real-time systems; real-time traffic detection; road traffic system; Roads; text mining techniques; Traffic congestion; Twitter; Twitter Streaming API

The increasing number of vehicles for every year in the Philippines produces a bigger percentage of causing severe traffic congestion in the three leading roads (Circumferential Road 5, EDSA, and Commonwealth Avenue) in Metro Manila. The researchers observed that most of the implemented technology u...