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.

Dades bibliogràfiques
Autors principals: Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther
Altres autors: Alam, Md. Ashraful
Format: Thesis
Idioma:English
Publicat: Brac University 2022
Matèries:
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.
Accés en línia:http://hdl.handle.net/10361/16668

Internet

http://hdl.handle.net/10361/16668

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