Artificial intelligence-based traffic flow prediction: a comprehensive review

SA Sayed, Y Abdel-Hamid, HA Hefny - Journal of Electrical Systems and …, 2023 - Springer
The expansion of the Internet of Things has resulted in new creative solutions, such as smart
cities, that have made our lives more productive, convenient, and intelligent. The core of …

[PDF][PDF] Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review.

JAOS Silva, VS Siqueira, M Mesquita, LSR Vale… - …, 2024 - researchgate.net
Integrating advanced technologies such as artificial intelligence (AI) with traditional
agricultural practices has changed how activities are developed in agriculture, with the aim …

Efficient roundabout supervision: Real-time vehicle detection and tracking on nvidia jetson nano

I Elmanaa, MA Sabri, Y Abouch, A Aarab - Applied Sciences, 2023 - mdpi.com
In recent years, a significant number of people in Morocco have been commuting daily to
Casablanca, the country's economic capital. This heavy traffic flow has led to congestion and …

Deep learning architecture for UAV traffic-density prediction

A Alharbi, I Petrunin, D Panagiotakopoulos - Drones, 2023 - mdpi.com
The research community has paid great attention to the prediction of air traffic flows.
Nonetheless, research examining the prediction of air traffic patterns for unmanned aircraft …

[PDF][PDF] Black spots identification on rural roads based on extreme learning machine

A Mbarek, M Jiber, A Yahyaouy… - International Journal of …, 2023 - researchgate.net
Accident black spots are usually defined as road locations with a high risk of fatal accidents.
A thorough analysis of these areas is essential to determine the real causes of mortality due …

[HTML][HTML] Improving traffic light systems using Deep Q-networks

J Moreno-Malo, JL Posadas-Yagüe, JC Cano… - Expert Systems with …, 2024 - Elsevier
As our cities become more complex and traffic demand grows, managing such traffic
efficiently becomes challenging. Hence, solutions that allow building upon the current traffic …

A Hybrid DNN Model for Travel Time Estimation from Spatio-Temporal Features

BG Rajagopal, M Kumar, P Samui, MR Kaloop… - Sustainability, 2022 - mdpi.com
Due to recent advances in the Vehicular Internet of Things (VIoT), a large volume of traffic
trajectory data has been generated. The trajectory data is highly unstructured and pre …

Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression

Bharti, B Naheliya, K Kumar - International Journal of Information …, 2024 - Springer
In recent decades, there has been substantial population growth, leading to a higher volume
of vehicles on the roadways. This has contributed to traffic congestion issues, affecting not …

Estimation of congestion level at intersection points using AI

G Pandove - 2022 3rd International Conference on Issues …, 2022 - ieeexplore.ieee.org
Congestion in vehicular scenarios has become one of the hot research areas among
researchers. It is one of the most challenging issues, and it occurs when roads or channels …

Accident black spots identification based on association rule mining

A Mbarek, M Jiber, A Yahyaouy, A Sabri - Bulletin of Electrical Engineering …, 2024 - beei.org
This paper presents an analytical approach to identifying the important characteristics of
accident black spots on Moroccan rural roads. An association rule mining method is applied …