- A Study on ETA Prediction using Machine Learning and Recovered ...🔍
- Predicting Estimated Arrival Times in Logistics Using Machine ...🔍
- ETA Prediction for Vessels using Machine Learning🔍
- An ETA Prediction Model for Intermodal Transport Networks Based ...🔍
- Prediction of estimated time of arrival for multi|airport systems via ...🔍
- Machine Learning model for Last Mile Logistics🔍
- Machine Learning in Vehicle Travel Time Estimation🔍
- Prediction of aircraft estimated time of arrival using machine learning ...🔍
A Study on ETA Prediction using Machine Learning and Recovered ...
A Study on ETA Prediction using Machine Learning and Recovered ...
We conduct a case study to explore the feasibility of leveraging recovered routes as input for machine learning-driven ETA models and evaluate ...
A Study on ETA Prediction using Machine Learning and Recovered ...
A case study to explore the feasibility of leveraging recovered routes as input for machine learning-driven ETA models and evaluate their performance, ...
Predicting Estimated Arrival Times in Logistics Using Machine ...
This process can be supported by using machine learning to determine the estimated time of arrival (ETA) based on various factors such as departure time, ...
ETA Prediction for Vessels using Machine Learning
When a vessel is at one of these waypoints the vessel traffic service system needs to know the estimated time of arrival to the next waypoints. This research ...
An ETA Prediction Model for Intermodal Transport Networks Based ...
The research presented in this study shows that the ML approach produces reliable ETA predictions for intermodal freight transport. These ...
Prediction of estimated time of arrival for multi-airport systems via ...
Finally, the medium-term ETA prediction for an MAS is achieved by integrating the out-MAS and in-MAS prediction with the help of trajectory pattern prediction ...
Machine Learning model for Last Mile Logistics: A Case Study on ...
The GBDT model achieved an accuracy of 78% in predicting the ETA of an order, considering the different variables included in the model. The ...
Machine Learning in Vehicle Travel Time Estimation
In this paper, we aim to review recent studies of the mentioned machine learning approaches for ETA to determine the necessary input for an ETA forecasting ...
Prediction of aircraft estimated time of arrival using machine learning ...
In this study, machine learning models for ETA prediction were developed using RF and DNN. Both methods succeeded to predict the ETA with a ...
Enhancing Prediction Accuracy of Vessel Arrival Times Using ...
Most of the recent studies on ETA predictions of vessels use machine learning ... Based on simulations, the study found that multi ... Another paper [21] presented ...
Precision in Motion: Deep learning for smarter ETA predictions
Additionally, our new approach also incorporates multitask learning to allow the model to simultaneously predict multiple related outcomes.
Vessel estimated time of arrival prediction system based on a path ...
One such methodology is a novel ETA-prediction system utilizing a machine learning algorithm. In the field of land transportation, studies have been conducted ...
On the Data-Driven Prediction of Arrival Times for Freight Trains on ...
freight railroads using individualized machine learning ... Supervised machine learning ETA prediction. In the ... Journal of Machine Learning Research, 12:2825– ...
P Predicting Estimated Arrival Times in Logistics Using Machine ...
... in ETA prediction research. Machine Learning ... analysis can be found in ... ETA predictions for intermodal logistics networks using artificial ...
PREDICT ARRIVAL TIME BY USING MACHINE LEARNING ...
The objective of this research is to attempt to develop a Support Vector Regression (SVR) model that can predict. ETA of the bus at departure ...
Case Study – Forecasting Inland Vessel ETA with Predictive Analytics
One main goal, among others, is to develop a prediction for Estimated Times of Arrival (ETA) using machine learning. The SELECT project is funded from 2020 to ...
[PDF] DeeprETA: An ETA Post-processing System at Scale
A Post-routing ETA Model Providing Confidence Feedback · A Study on ETA Prediction using Machine Learning and Recovered Routes · Estimating time of arrival of ...
Real-time Destination and ETA Prediction for Maritime Traffic - arXiv
Previous research has shown that machine learning is a ... In general, machine learning techniques for dealing with ... provide an ETA prediction using regression.
An ETA Prediction Model for Intermodal Transport Networks Based ...
The research presented in this study shows that the ML approach produces reliable ETA predictions for intermodal freight transport. These ...
An ETA Prediction Model for Intermodal Transport Networks Based ...
The research presented in this study shows that the ML approach produces reliable ETA predictions for intermodal freight transport. These predictions comprise ...