Image of PENENTUAN JALUR TERBAIK PADA SMART TRANSPORTATION DALAM SMART CITY MENGGUNAKAN METODE ONE DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK YANG DIOPTIMASI DENGAN BAYESIAN OPTIMIZATION (1DCNN-BO)

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PENENTUAN JALUR TERBAIK PADA SMART TRANSPORTATION DALAM SMART CITY MENGGUNAKAN METODE ONE DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK YANG DIOPTIMASI DENGAN BAYESIAN OPTIMIZATION (1DCNN-BO)

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The system for determining the best path is included in the concept of Smart Transportation where the city that applies the concept is called a Smart City. This study uses the You Only Look Once version 8 (YOLOv8) algorithm to calculate the number of vehicles based on CCTV footage, One Dimensional Convolutional Neural Network optimized with Bayesian Optimization (1DCNN-BO) to predict road density conditions based on reference tables and the A-Star algorithm. to determine the best path. The dataset used is a dataset of vehicle images totaling 4224 images and a reference table of 5 columns and 320 rows of road conditions in .csv form. YOLOv8 produces a model with a mAP of 85.4% and a test accuracy of 78.61%. Then 1DCNN produces a model accuracy of 93.75% and 100% prediction accuracy. Followed by optimizing the 1DCNN model using Bayesian Optimization resulting in a model accuracy of 96.88%, an increase of 3.13% and the prediction results are maintained at 100%. And finally the A-Star algorithm to determine the best path with the parameters of road conditions and distance traveled gets the results of line 4 as the smallest weight in all conditions, namely morning at 08.00 am and 09.00 am, noon at 01.00 pm and 02.00 pm, afternoon at 04.00 pm and 05.00 pm.

Availability
Inventory Code Barcode Call Number Location Status
2307005147T121424T1214242023Central Library (Reference)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1214242023
Publisher
Indralaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xvi, 99 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.650 7
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Sistem Komputer
Neural Networks (Computer)
Specific Detail Info
-
Statement of Responsibility
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