SISTEM SMART TRANSPORTATION UNTUK PENENTUAN JALUR TERBAIK DENGAN PERBANDINGAN METODE DECISION TREE YANG DIOPTIMASI DENGAN GRID SEARCH DAN BAYESIAN OPTIMIZATION

KINANTI, SRI ARUM and Sukemi, Sukemi and Oklilas, Ahmad Fali (2023) SISTEM SMART TRANSPORTATION UNTUK PENENTUAN JALUR TERBAIK DENGAN PERBANDINGAN METODE DECISION TREE YANG DIOPTIMASI DENGAN GRID SEARCH DAN BAYESIAN OPTIMIZATION. Undergraduate thesis, Sriwijaya University.

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Abstract

The ever-increasing number of vehicle users makes traffic congestion one of the major problems to be overcome. Services provided by Intelligent Transportation Systems (ITS) can help solve traffic congestion problems. Smart transportation systems are an important part of smart cities by focusing on lane optimization, traffic lights, and congestion detection. The optimal model is obtained using computer vision techniques using the You Only Look Once (YOLO) algorithm version 8 for vehicle detection. In detecting vehicle density in traffic using the Decision Tree method optimized with Grid Search and optimized with Bayesian Optimization, aims to get the accuracy of vehicle density in traffic. The results of the Decision Tree method result in 85.42% model accuracy and 100% reading accuracy. Then in the Decision Tree method optimized with Grid Search, the model accuracy is 79.69% and the reading accuracy is 100%. And the Decision Tree optimized with Bayesian Optimization results in model accuracy of 82.81% and reading accuracy of 98.67%. As for determining the best path using the Heuristic Search method with the A-Star algorithm. The selected path is path 2 although it is not the shortest path but obtains the smallest weight value. Path 1 is indeed the shortest path but was not chosen because of the congested road conditions causing the weight value to be large.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kemacetan, Smart Transportation, Smart City, YOLOv8, Decision Tree, Grid Search, Bayesian Optimization, Jalur Terbaik, Heuristic Search, A-Star
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Sri Arum Kinanti
Date Deposited:	01 Aug 2023 06:52
Last Modified:	01 Aug 2023 06:52
URI:	http://repository.unsri.ac.id/id/eprint/124712

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