Traffic Management with Algorithm Analysis (Record no. 29599)

MARC details
000 -LEADER
fixed length control field 02916nam a22003257a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250327165829.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250327b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency TUPM
Language of cataloging English
Transcribing agency TUPM
Modifying agency TUPM
Description conventions rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number BTH QA 76.9
Item number C37 2024
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Casupas, Alvin F.
Relator term author
245 ## - TITLE STATEMENT
Title Traffic Management with Algorithm Analysis
Statement of responsibility, etc. Alvin F. Casupas, Jonard Klent C. Estrella, Jeff Lendelle T. Jacob, Hosea A. Paulate and James Matthew G. Vargas
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Manila;
Name of publisher, distributor, etc. Technological University of the Philippines
Date of publication, distribution, etc. 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xii 174pages
Dimensions 29cm.
336 ## - CONTENT TYPE
Source rdacontent
337 ## - MEDIA TYPE
Source rdamedia
338 ## - CARRIER TYPE
Source rdacarrier
500 ## - GENERAL NOTE
General note Bachelor's Thesis
502 ## - DISSERTATION NOTE
Dissertation note College of Industrial Technology.--
Degree type Bachelor of Engineering Technology major in Computer Engineering Technology (Non-Stem)
Name of granting institution Technological University of the Philippines
Year degree granted 2024.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographic references and index.
520 ## - SUMMARY, ETC.
Summary, etc. As urban traffic management becomes more complex and requires such solutions of<br/>congestion decreasing, environmental impacts and increasing road safety, innovative<br/>solutions are needed. The research of this thesis is presented through the development and<br/>implementation of a Traffic Management System with Algorithm Analysis to improve the<br/>urban mobility by optimizing the traffic flow. The system is real time traffic monitoring<br/>and analytics using YOLOv11n, advanced machine learning algorithms, that utilize<br/>Raspberry Pi based hardware. The most important features involve vehicle detection from<br/>live video feeds and a data visualization web platform for the user. The system was<br/>designed to be both scalable and integratable, that is, it was thought should work even when<br/>running alongside other infrastructure. This work helps towards technological<br/>advancement of infrastructure, towards sustainable and efficient urban transportation<br/>systems which are aspired by United Nations Sustainable Development Goals (SDGs) 9<br/>and 11. The results of evaluation showed great traffic flow efficiency improvement,<br/>congestion reduction, and better data driven traffic management disposition for traffic<br/>management authorities. This thesis research shows feasibility to build more intelligent<br/>and more sustainable urban transport system with the help of Internet of Things (IoT)<br/>devices and machine learning.<br/>Keywords: Traffic Management System, Raspberry Pi, YOLOv11n, Machine Learning,<br/>Internet of Things, Urban Mobility, Real-Time Monitoring, Sustainable Development<br/>Goals, Smart Cities, Intelligent Transportation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Computer Engineering Technology
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Traffic Management System
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Raspberry Pi
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Estrella, Jonard Klent C.
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Jacob, Jeff Lendelle T.
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Paulate, Hosea A.
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Vargas, James Matthew G.
Relator term author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Bachelor's Thesis CIT
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Inventory number Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     TUP Manila Library TUP Manila Library Thesis Section-2nd floor 03/27/2025 BTH-5940   BTH QA 76.9 C37 2024 BTH00005940 03/27/2025 03/27/2025 Bachelor's Thesis CIT



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