Urban Expressway Incident Detection Algorithm Based on Floating Car Data

Easily achieved automatic incident detection (AID) algorithm based on two-dimensional integration was proposed by the analysis of floating car data (FCD) and traffic event data. The wide coverage of FCD was applied to AID of urban expressway to improve the performance of incident detection. The algorithm integrated the change of speed by the standard difference in the temporal dimension and the difference between travel speed on upstream and downstream in the spatial dimension to detect incidents. Then, the algorithm was verified with the FCD and traffic incident data collected from Beijing expressway, with a 87% detector rate (DR) and a 1.86% false alarm rate (FAR), which were extremely close to the average TMC acceptable limits of at least 88% of DR and not more than 1.8% of FAR. Therefore, we could conclude that the FCD based integrated algorithm could meet the basic needs for practical applications.