Estimation of Traffic Congestion Level via FN-DBSCAN Algorithm by Using GPS Data
4th International Conference on Problems of Cybernetics and Informatics (PCI), Baku, Azerbaijan, 12 - 14 September 2012, (Full Text)
- Publication Type: Conference Paper / Full Text
- Volume:
- Doi Number: 10.1109/icpci.2012.6486279
- City: Baku
- Country: Azerbaijan
- Keywords: data mining, clustering, FN-DBSCAN, intelligent transportation systems, traffic congestion
- Dokuz Eylül University Affiliated: Yes
Abstract
Determination of traffic congestion level is one of the fundamental problems in Intelligent Transportation Systems (ITS). In this paper, fuzzy based data mining technique, namely, Fuzzy Neighborhood Density-Based Spatial Clustering of Applications with Noise (FN-DBSCAN) was performed to cluster road segments with traffic congestion level. Data were collected from portable navigation device in probe car on selected roads in Izmir. Six clusters were obtained as a result of experimental study and these clusters were named traffic congestion levels. It is considered that this paper will provide a contribution to related work.