A hybrid approach of traffic simulation and machine learning techniques for enhancing real-time traffic prediction

Y Kim, H Tak, S Kim, H Yeo - Transportation research part C: emerging …, 2024 - Elsevier
Accurate traffic prediction is important for efficient traffic operation, management, and user
convenience. It enables traffic management authorities to allocate traffic resources …

[HTML][HTML] Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction

T Wang, D Ngoduy, Y Li, H Lyu, G Zou… - Chaos, Solitons & …, 2024 - Elsevier
Reliable and accurate traffic flow prediction is crucial for the construction and operation of
smart highways, supporting scientific traffic management and planning. However, accurately …

A predictive discrete event simulation for predicting operation times in container terminal

K Park, M Kim, H Bae - IEEE Access, 2024 - ieeexplore.ieee.org
Container terminals (CTs) play a crucial role within the global supply chain in the context of
the global container transportation business. The primary obligation associated with these …

Using Machine Learning and Deep learning for traffic congestion prediction: a review

AS Mihaita, Z Li, H Singh, N Sharma… - Handbook on Artificial …, 2023 - elgaronline.com
With the acceleration of urbanisation, decreased vehicle prices and increased population in
many cities, traffic demand has been rapidly increasing in recent years. Urban road traffic …

Research on the impact of underground excavation metro on surface traffic safety and assessment method

X Chen, QS Zhang, RT Liu, DK Zhao, HZ Li… - Journal of the …, 2023 - Taylor & Francis
This study focuses on a problem that has been seriously troubled urban traffic managers: the
impact of underground excavation metros on surface traffic safety during construction. In …

[BUKU][B] Big data analytics for smart transport and healthcare systems

SP Ardakani, A Cheshmehzangi - 2023 - Springer
In the information age, big data has become an important tool for us to understand and
improve the world, especially in urban planning and design (Pourroostaei Ardakani and …

Big data analytics and the future of smart transport and healthcare systems

S Pourroostaei Ardakani, A Cheshmehzangi - Big Data Analytics for Smart …, 2023 - Springer
Urban experimentationhas long become a platform of city transitions, where we see
opportunities for smart development. This applies to many sectors, including smart …

Comprehensive analysis of UK AADF traffic dataset set within four geographical regions of England

V Chang, QA Xu, K Hall, OT Oluwaseyi, J Luo - Expert Systems, 2023 - Wiley Online Library
Traffic flow detection plays a significant part in freeway traffic surveillance systems.
Currently, effective autonomous traffic analysis is a challenging task due to the complexity of …

Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods

A Grigorev, S Shafiei, H Grzybowska… - International Journal of …, 2024 - Springer
This research presents a comprehensive machine learning approach to predicting the
duration of traffic incidents, classifying them as short-term or long-term, and understanding …

[PDF][PDF] Logical structure of actions to reduce the impacts of traffic incidents

MLDB Baltar, VHS De Abreu… - Revista GEINTEC-Gestao …, 2021 - revistageintec.net
Traffic incidents (such as broken-down vehicles, accidents, flat tires and other) constitute an
important concern in the urban context, impacting the sustainable development. Thus …