000			02681nam a22003017a 4500
003			OSt
005			20240815162831.0
008			240814s2024 ph ||||| abm| 00| 0 eng d
040			_aTUPM _beng _cTUPM _erda
050			_aBTH QA 76 _bC66 2024
100			_aCompra, Imee Q.
245			_aVehicle Detection and Traffic Data Generation Using YOLOv8 in Metro Manila Highways / _cImee Q. Compra, Simon Daniel M. Dela Cruz, Ronan M. Esguerra, Joshuel Ernest Q. Simbulan, Andrew James S. Tejerero.
264			_aManila : _bTechnological University of the Philippines, _c2024.
300			_a96 pages : _billustrations ; _c 29 cm. + _e1 CD-ROM (4 3/4 in.)
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_aThesis (Undergraduate)
502			_aCollege of Science -- _bBachelor of Science in Information Technology, _cTechnological University of the Philippines, _d2024.
504			_aIncludes bibliographical references.
520	3		_a"The worsening traffic conditions in urban cities reflect neglect in proper preparation and a lack of studies about traffic management. This problem can be pointed out as one of the effects of having insufficient comprehensive data, specifically in Metro Manila. The primary objective of this study is to develop a project that can replace the traditional ways of collecting and generating traffic data with a more robust, automated, and scalable web application. YOLOv8 – the main algorithm for vehicle detection – was implemented on a diverse dataset of traffic images in highway environments. The model's accuracy, speed, and robustness were assessed through precision, recall, and score metrics. Data generation techniques are also employed to export traffic count values from either live or recorded video inputs. The results demonstrate that the YOLOv8 achieved a high detection accuracy with a mean average precision (mAP) of 86.76% and a real-time processing speed of 20- 30 frames per second (FPS), and successfully generating compact traffic data that can be used for data-driven scientific studies. That concludes that this project is a potential stepping stone towards understanding the underlying crisis involving road and transportation systems as it takes advantage of modern technologies to resolve and provide a faster and more flexible solution for the lack of extensive traffic volume data in cities." - Author's Abstract
700			_aDela Cruz, Simon Daniel M.
700			_aEsguerra, Ronan M.
700			_aSimbulan, Joshuel Ernest Q.
700			_aTejerero, Andrew James S.
942			_2lcc _cBTH COS _n0
999			_c28857 _d28857