Forecasting Model of Traffic Flow Prediction Model Based on Multi-resolution SVR-Reference-Cited by-同舟云学术

Forecasting Model of Traffic Flow Prediction Model Based on Multi-resolution SVR

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence - ICIAI 2019
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Author:

Ge Weilin¹,Cao Yang¹,Ding Zhiming¹,Guo Limin¹

Affiliation:

1. Beijing University of Technology, Beijing, China

Publisher

ACM Press

Reference13 articles.

1. Zhi Cai, Fujie Ren, Juncheng Chen, and Zhiming Ding. 2018. Vector-Based Trajectory Storage and Query for Intelligent Transport System. IEEE Transactions on Intelligent Transportation Systems 19, 5 (2018), 1508--1519.

2. Yang Cao, Zhiming Ding, Fei Xue, and Xiaotao Rong. 2018. An improved twin support vector machine based on multi-objective cuckoo search for software defect prediction. International Journal of Bio-Inspired Computation 11, 4 (2018), 282--291.

3. Zhiming Ding, Fujie Ren, Zhi Cai, and Yang Cao. 2018. Urban Road Congestion Condition Discrimination Research Based on Vector Features. In 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC). IEEE, 92--98.

4. Zhiming Ding, Bin Yang, Ralf Hartmut Güting, and Yaguang Li. 2015. NetworkMatched Trajectory-Based Moving-Object Database: Models and Applications. IEEE Trans. Intelligent Transportation Systems 16, 4 (2015), 1918--1928.

5. Zhongsheng Hou and Xingyi Li. 2016. Repeatability and similarity of freeway traffic flow and long-term prediction under big data. IEEE Transactions on Intelligent Transportation Systems 17, 6 (2016), 1786--1796.

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