Abstract
The macroscopic fundamental diagram (MFD) is the relationship between average flow and average density of networks and plays an important role in network service level assessment, regional control and macro traffic modeling. In this paper, an MFD method is proposed to fuse the data of the remote traffic microwave sensor and the license plate recognition data by using the networked weighted flow and the weighted density as the MFD description indexes. In order to evaluate the effectiveness of MFD under different data sources, the difference of MFD is described by traffic state ratio. Taking the data of Qingdao City as an example, the MFD's law of single data source and fusion data are analyzed. The results show that the fusion model can accurately describe the network MFD when there are different types of detectors in the network.
| Original language | English |
|---|---|
| Pages (from-to) | 108-115 and 127 |
| Journal | Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology |
| Volume | 18 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Apr 2018 |
| Externally published | Yes |
Free Keywords
- Data fusion
- License plate
- Macroscopic fundamental diagram
- Microwave data
- recognition data
- Traffic engineering
- Traffic state ratio
ASJC Scopus subject areas
- Control and Systems Engineering
- Modelling and Simulation
- Transportation
- Computer Science Applications
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