Geo-Statistics and Deep Learning-Based Algorithm Design for Real-Time Bus Geo-Location and Arrival Time Estimation Features with Load Resiliency Capacity

Geo-Statistics and Deep Learning-Based Algorithm Design for Real-Time Bus Geo-Location and Arrival Time Estimation Features with Load Resiliency Capacity

This paper introduces a groundbreaking decentralized approach for real-time bus monitoring and geo-location, leveraging advanced geo-statistical and multivariate statistical methods. The proposed long short-term memory (LSTM) model predicts bus arrival times with confidence intervals and reconstruct...

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Bibliographic Details
Main Author: Smail Tigani
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:AI
Subjects:
geo-statistics
geo-location
smart transportation
LSTM
online learning
deep learning
Online Access:https://www.mdpi.com/2673-2688/6/7/142
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