Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province of China
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Reference54 articles.
1. Alghamdi T, Elgazzar K, Bayoumi M, Sharaf T, Shah S (2019) Forecasting traffic congestion using arima modeling. 2019 15th International wireless communications and mobile computing conference (IWCMC). IEEE, Kenzi Solazur Tanger, pp 1227–1232
2. Chan KY, Dillon T, Singh J, Chang E (2011) Traffic flow forecasting neural networks based on exponential smoothing method. In: 2011 6th IEEE conference on industrial electronics and applications, Waikoloa Village, pp 376–381. IEEE
3. Chan KY, Dillon TS, Singh J, Chang E (2011) Neural-network-based models for short-term traffic flow forecasting using a hybrid exponential smoothing and levenberg-marquardt algorithm. IEEE Trans Intell Transp Syst 13(2):644–654
4. Chen X, Wu S, Shi C, Huang Y, Yang Y, Ke R, Zhao J (2020) Sensing data supported traffic flow prediction via denoising schemes and ann: a comparison. IEEE Sens J 20(23):14317–14328
5. Chen Y, Lv Y, Ye P, Zhu F (2020) Traffic-condition-awareness ensemble learning for traffic flow prediction. IFAC PapersOnLine 53(5):582–587
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献