Data mining: concepts and techniques
Data mining: concepts and techniques
Distance-based outliers: algorithms and applications
The VLDB Journal — The International Journal on Very Large Data Bases
Inferring and focusing areas of interest from GPS traces
W2GIS'11 Proceedings of the 10th international conference on Web and wireless geographical information systems
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Nowadays, Floating Car Data (FCD), which is becoming an important way to acquire traffic information, has been widely taken to estimate speed or travel time on road. In this paper, we introduce the concept of outlier mining into Automatic Incident Detection (AID) based on FCD and propose a novel AID approach on urban arterial road. According to the characteristics of incident, feature vector is selected from both spatial analysis and temporal analysis. Then a multilevel detection method that consists of filtering, outlier detection, and delay monitoring is proposed. The evaluation on real incident data and FCD gives the result that DR = 81.5% while FAR = 1.83%, which proves that the approach can achieve considerable effectiveness.