Machine Learning Approaches for Efficient Traffic Flow in Smart Cities

被引：0
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作者：
Kulkarni, Aniket [1 ]
Anitha, P. [2 ]
Valluri, John Yesudas [3 ]
Sunena Rose, M.V. [4 ]
Hemavathi, U. [5 ]
Hussein, Omar M. [6 ]
机构：
[1] Software Qa Manager, Drata Inc, San Diego,CA, United States
[2] Kalasalingam Academy of Research and Education, Department of Computer Applications, Tamil Nadu, Srivilliputhur, India
[3] Cms Business School, Jain (Deemed-to-be University), Faculty of Management Studies, Bengaluru, India
[4] Jain (Deemed-to-be University), Department of Computer Science and Engineering, Bengaluru, India
[5] Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology, Department of Cse, Avadi, Chennai, India
[6] Al-Farahidi University, Medical Technical College, Medical Instrumentation Engineering, Baghdad, Iraq
来源：
3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2024 | 2024年
关键词：
Adversarial machine learning - Intelligent systems - Recurrent neural networks - Street traffic control - Traffic signals;
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