Author:
Sarooraj R.B.,Prayla Shyry S.
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference18 articles.
1. Do L, Vu H, Vo B, Liu Z, Phung D (2019) An effective spatial-temporal attention based neural network for traffic flow prediction. Transp Res Part C Emerg Technol 108:12–28
2. Duan Z, Yang Y, Zhang K, Ni Y, Bajgain S (2018) Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data. IEEE Access 6:31820–31827
3. Essien A, Petrounias I, Sampaio P, Sampaio S (2020) A deep-learning model for urban traffic flow prediction with traffic events mined from twitter. World Wide Web 24:1345–1368
4. Fei Z (2010) The current situation and development thinking of the intelligent transportation system in China. In: 2010 International Conference on Mechanic Automation and Control Engineering, IEEE, pp 2826–2829
5. Liang Z, Wakahara Y (2013) City traffic prediction based on real-time traffic information for intelligent transport systems. In: 2013 13th International Conference on ITS Telecommunications (ITST), IEEE, pp 378–383
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