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.

Dettagli Bibliografici
Autori principali:	Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther
Altri autori:	Alam, Md. Ashraful
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2022
Soggetti:	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.
Accesso online:	http://hdl.handle.net/10361/16668

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