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.

Bibliographische Detailangaben
Hauptverfasser: Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther
Weitere Verfasser: Alam, Md. Ashraful
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2022
Schlagworte:
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.
Online Zugang:http://hdl.handle.net/10361/16668

Online

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

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