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
Traffic Density Prediction Model At Loading Terminal Using Discrete Simulation Method Quantitative Approach
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
Traffic Flow Simulation on Discrete Rate Approach Base
Tema Archiv | 2012
|A model for traffic behaviour evaluation based on a discrete event simulation approach
British Library Conference Proceedings | 2007
|Incoming flight flow flight plan prediction method for terminal area traffic simulation
Europäisches Patentamt | 2024
|Traffic flow model simulation method and system and abnormal traffic event prediction method
Europäisches Patentamt | 2022
|