Table 5 Several examples of extracted traffic information from Tweets
From: Traffic and road conditions monitoring system using extracted information from Twitter
Tweet | Relevance | Category | Location |
|---|---|---|---|
@PTJASAMARGA ada truk terperosok di km 82 tol cipularang arah jakarta’ | Relevant | Traffic Accident | Cipularang |
@DKIJakarta jalan MT Haryono di atas rel kereta Cawang yang arah Pancoran berlubang. Mohon perbaiki.’ | Relevant | Road Damage | MT Haryono |
05.36: Truk box mogok di Jalan Kembang Kerep, Kembangan, Jakbar depan SPBU Meruya Ilir | Relevant | Vechicle Problem | Kembang Kerep |
16:24 Pejompongan Jalan Penjernihan 1 dari Per4an Karet menuju Slipi / Senayan macet | Relevant | Congestion | Pejompongan |
Kecelakaan lalu lintas itu trjadi krn pengemudi tidak taat peraturan.Jgn protes dlu Sob | Not Relevant | - | - |