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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther
Άλλοι συγγραφείς:	Alam, Md. Ashraful
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2022
Θέματα:	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.
Διαθέσιμο Online:	http://hdl.handle.net/10361/16668

Παρόμοια τεκμήρια

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A novel approach to forecast traffic congestion using CMTF and machine learning
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Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
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Έκδοση: (2019)

Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
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Έκδοση: (2021)

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ανά: Karim, Dewan Tanzim ul, κ.ά.
Έκδοση: (2016)

Real time traffic density measurement using computer vision and dynamic traffic control
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Blockchain-based traffic surveillance footage authenticity detection system
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IoT based smart traffic control system using sumo traffic simulator
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Image classification using deep neural network for efficient identification of traffic sign
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Έκδοση: (2018)

Crowed source based traffic analysis using machine learning algorithm
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Έκδοση: (2017)

Traﬃc congestion reduction in SUMO using reinforcement learning method
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Έκδοση: (2021)

Crowd source based traffic analysis using machine learning algorithm
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Έκδοση: (2018)

Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios
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An intelligent road traffic management system
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Έκδοση: (2016)

Night mode prohibitory traffic signs detection
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Έκδοση: (2017)

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Έκδοση: (2017)

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An automated traffic signal management system
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Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
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Έκδοση: (2017)

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Έκδοση: (2017)

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A modern technique to detect potholes by Computer Vision and Deep Learning
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Έκδοση: (2023)

A comparative performance analysis of accident anticipation with deep learning extractors
ανά: Mostak, Alfi Mashab, κ.ά.
Έκδοση: (2023)

An efficient deep learning approach to detect skin Cancer
ανά: Islam, Ashfaqul, κ.ά.
Έκδοση: (2022)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
ανά: Boateng, Albert, κ.ά.
Έκδοση: (2024)

Digitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nations
ανά: Yasar, Mohammad Samin, κ.ά.
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Real time traffic monitoring system using crowd sourced GPS data
ανά: Md. Al Amin, κ.ά.
Έκδοση: (2015)

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Turbulence in Rotating, Stratified and Electrically Conducting Fluids
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Turbulence, Coherent Structures, Dynamical Systems and Symmetry
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