Traffic Operation Status Research Based on Multi-source Data Fusion

Author:

Cao Ling,Wang Pangwei,Dong Honghui

Publisher

Springer Nature Singapore

Reference8 articles.

1. Dia, H., Thomas, K.: Development and evaluation of arterial incident detection models using fusion of simulated probe vehicle and loop detector data. Inf. Fusion 12(1), 20–27 (2011)

2. Jibrin, F.A., Deng, Z., Zhang, Y.: An object detection and classification method using radar and camera data fusion. IEEE Int. Conf. Signal Inf. Data Process. 12(11), 1–6 (2019)

3. Kashinath, S.A., Mostafa, S.A., Lim, D., et al.: A general framework of multiple coordinative data fusion modules for real-time and heterogeneous data sources. J. Intell. Syst. 30(1), 947–965 (2021)

4. Barreto-Cubero, A.J., Gómez-Espinosa, A., Escobedo Cabello, J.A., et al.: Sensor data fusion for a mobile robot using neural networks. Sensors 22(1), 305–338 (2022)

5. Rafiezadeh, S.K., Ghamisi, P., Rasti, B., et al.: Data fusion using a multi-sensor sparse-based clustering algorithm. Remote Sensing 12(23), 407–428 (2020)

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