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

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

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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.

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Inventory Code Barcode Call Number Location Status
2307005509T124712T1247122023Central Library (Reference)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1247122023
Publisher
Indralaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xxi, 144 hlm.; Ilus.; cm
Language
Indonesia
ISBN/ISSN
-
Classification
003.707
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Sistem Komputer
System
Specific Detail Info
-
Statement of Responsibility
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