Autonomous vehicles congestion model: A transparent LSTM-based prediction model corporate with Explainable Artificial Intelligence (EAI)

Autonomous vehicles congestion model: A transparent LSTM-based prediction model corporate with Explainable Artificial Intelligence (EAI)

Urban traffic congestion presents a range of vital difficulties requiring precise prediction models in order to facilitate traffic management for Autonomous Vehicles. This work introduces a novel framework that regulates a Long Short-Term Memory (LSTM) system with methods provided by Explainable Art...

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Bibliographic Details
Main Authors: Muhammad Waqas, Sagheer Abbas, Umer Farooq, Muhammad Adnan Khan, Munir Ahmad, Nasir Mahmood
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Egyptian Informatics Journal
Subjects:
Long Short-Term Memory
Recurrent Neural Network (RNN)
Explainable Artificial Intelligence (EAI)
Smart City
IoT
Artificial Intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866524001452
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