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.

Bibliografiska uppgifter
Huvudupphovsmän: Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther
Övriga upphovsmän: Alam, Md. Ashraful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2022
Ämnen:
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.
Länkar:http://hdl.handle.net/10361/16668

Internet

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

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