Cite
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction.
MLA
Fang, Shen, et al. “MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction.” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, July 2022, pp. 7142–55. EBSCOhost, https://doi.org/10.1109/TITS.2021.3067024.
APA
Fang, S., Prinet, V., Chang, J., Werman, M., Zhang, C., Xiang, S., & Pan, C. (2022). MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems, 23(7), 7142–7155. https://doi.org/10.1109/TITS.2021.3067024
Chicago
Fang, Shen, Veronique Prinet, Jianlong Chang, Michael Werman, Chunxia Zhang, Shiming Xiang, and Chunhong Pan. 2022. “MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction.” IEEE Transactions on Intelligent Transportation Systems 23 (7): 7142–55. doi:10.1109/TITS.2021.3067024.