Forecasting the Number of Traffic Accidents in Jakarta Using Artificial Neural Network-Reference-Cited by-同舟云学术

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Forecasting the Number of Traffic Accidents in Jakarta Using Artificial Neural Network

Published:2023-12-01 Issue: Volume:6 Page:238-243
ISSN:
Container-title:2023 International Conference on Information Technology and Computing (ICITCOM)
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Author:

Yulianti Henny¹,Pranoto Gatot Tri²,Yaddarabullah ³,Krishnasari Erneza Dewi⁴,Marchenko Michael⁵

Affiliation:

1. Informatics Engineering, Universitas Siber Asia,Jakarta,Indonesia

2. Informatics Engineering, Pelita Bangsa University,Bekasi,Indonesia

3. Universitas Trilogi,Department of Informatics,Jakarta,Indonesia

4. Universitas Trilogi,Department of Visual Communication Design,Jakarta,Indonesia

5. Dnipro National University Dnipropetrovsk,Faculty of Physics, Electronics and Computer Systems,Oblast,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441784/10441792/10441844.pdf?arnumber=10441844

Reference12 articles.

1. Prediction of urban expressway total traffic accident duration based on multiple linear regression and artificial neural network

2. Traffic forecasting in Morocco using artificial neural networks

3. Geospatial data to images: A deep-learning framework for traffic forecasting

4. PHP-based undergraduate data reporting and teaching quality evaluation information system

5. sustainability Forecasting Road Traffic Deaths in Thailand;Jomnonkwao;Applications of Time-Seriesn Curve Estimation, Multiple Linear Regression, and Path Analysis Models,2020

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