Traffic Density Prediction Model At Loading Terminal Using Discrete Simulation Method Quantitative Approach
Traffic density at the port loading terminal is a critical factor affecting the port's operational efficiency and overall performance. To overcome the challenges of the complexity of the traffic system at the port terminal, a discrete simulation approach is adopted in this study. A quantitative...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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LPPM AKMI SUAKA BAHARI CIREBON
2023-11-01
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| Series: | Jurnal Sains Teknologi Transportasi Maritim |
| Subjects: | |
| Online Access: | https://jurnal.akmicirebon.ac.id/index.php/akmi/article/view/75 |
| Summary: | Traffic density at the port loading terminal is a critical factor affecting the port's operational efficiency and overall performance. To overcome the challenges of the complexity of the traffic system at the port terminal, a discrete simulation approach is adopted in this study. A quantitative approach is used to collect data and accurately model traffic processes. This study aims to develop a predictive model of traffic density at Tanjung Emas port loading terminals using a discrete simulation methods quantitative approach. The results showed that the resulting traffic density prediction model has high accuracy and can be used as a predictive tool to assist decision-making in optimizing port loading terminal operations |
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| ISSN: | 2684-9135 2722-1679 |