Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics

Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Xehetasun bibliografikoak
Egile Nagusiak:	Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther
Beste egile batzuk:	Alam, Md. Ashraful
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	AITS ITSC Deep learning Image recognition Self-adaptive traffic system ATS City Traffic Fluid dynamics Numerical simulation Traffic simulation Object detection Optical flow Traffic flow Image processing > Digital techniques. Machine learning Cognitive learning theory (Deep learning) Fluid dynamics > Computer programs.
Sarrera elektronikoa:	http://hdl.handle.net/10361/16668

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