摘要
This paper proposes a novel algorithm to implement the dynamic segmentation of a freeway based on Probe Vehicle Data (PVD). In this paper, first we employ an entropy-based method to fuse the PVDs with different transmit frequencies in the data preprocessing step, and then we introduce a dynamic self-adaptive segmentation model. Based on the fusion data, we propose an iterative method that estimates the parameters to optimize our segmentation model. Experiments on real PVDs show that our algorithm is efficient and performs well.
- 出版日期2008
- 单位华南理工大学