A systematic review of the impacts of the coronavirus crisis on urban transport: Key lessons learned and prospects for future cities
The COVID-19 pandemic continues to have a significant impact on the transport sector
worldwide. Lockdown and physical distancing requirements continue to be enforced in …
worldwide. Lockdown and physical distancing requirements continue to be enforced in …
Unidirectional and bidirectional LSTM models for short‐term traffic prediction
This paper presents the development and evaluation of short‐term traffic prediction models
using unidirectional and bidirectional deep learning long short‐term memory (LSTM) neural …
using unidirectional and bidirectional deep learning long short‐term memory (LSTM) neural …
Development and evaluation of bidirectional LSTM freeway traffic forecasting models using simulation data
Long short-term memory (LSTM) models provide high predictive performance through their
ability to recognize longer sequences of time series data. More recently, bidirectional deep …
ability to recognize longer sequences of time series data. More recently, bidirectional deep …
A Bibliometric Overview of IEEE Transactions on Intelligent Transportation Systems (2000–2021)
RL Abduljabbar, H Dia - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The IEEE Transactions on Intelligent Transport Systems was founded in 2000 to enhance
the sharing of international research on theoretical and practical technology developments …
the sharing of international research on theoretical and practical technology developments …
Short-term traffic forecasting: An LSTM network for spatial-temporal speed prediction
Traffic forecasting remains an active area of research in the transport and data science
fields. Decision-makers rely on traffic forecasting models for both policy-making and …
fields. Decision-makers rely on traffic forecasting models for both policy-making and …
Food demand prediction using the nonlinear autoregressive exogenous neural network
Food demand prediction is a significant issue for both business process improvement and
sustainable development. Data science methods, including artificial intelligence methods …
sustainable development. Data science methods, including artificial intelligence methods …
Development and evaluation of simulation-based low carbon mobility assessment models
D Moffatt, H Dia - Future Transportation, 2021 - mdpi.com
The transport sector is a significant contributor to global emissions. In Australia, it is the third
largest source of greenhouse gases and is responsible for around 17% of emissions with …
largest source of greenhouse gases and is responsible for around 17% of emissions with …
Fault tolerance and transferability of short-term traffic forecasting hybrid AI models
The rapid development of intelligent transport systems (ITS) has increased the need to
propose advanced methods to predict traffic information. These methods play an important …
propose advanced methods to predict traffic information. These methods play an important …
Restaurant Demand Forecasting Using Dynamic Neural Network for Business Networking Application
F Abubaker - 2024 21st International Multi-Conference on …, 2024 - ieeexplore.ieee.org
Restaurant is a business establishment that serves public customers with food and drinks.
Despite the variety of types of restaurants in the world in general and the Middle East in …
Despite the variety of types of restaurants in the world in general and the Middle East in …
[PDF][PDF] AUTHOR'S DECLARATION
RL Abduljabbar - 2022 - researchbank.swinburne.edu.au
The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented
opportunities to enhance the performance of different industries and businesses, including …
opportunities to enhance the performance of different industries and businesses, including …