Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm.

MLA

Zheng, Zuduo, and Dongcai Su. “Short-Term Traffic Volume Forecasting: A k-Nearest Neighbor Approach Enhanced by Constrained Linearly Sewing Principle Component Algorithm.” Transportation Research Part C: Emerging Technologies, vol. 43, no. Part 1, June 2014, pp. 143–57. EBSCOhost, https://doi.org/10.1016/j.trc.2014.02.009.

APA

Zheng, Z., & Su, D. (2014). Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm. Transportation Research Part C: Emerging Technologies, 43(Part 1), 143–157. https://doi.org/10.1016/j.trc.2014.02.009

Chicago

Zheng, Zuduo, and Dongcai Su. 2014. “Short-Term Traffic Volume Forecasting: A k-Nearest Neighbor Approach Enhanced by Constrained Linearly Sewing Principle Component Algorithm.” Transportation Research Part C: Emerging Technologies 43 (Part 1): 143–57. doi:10.1016/j.trc.2014.02.009.