[HTML][HTML] A review of artificial intelligence and machine learning for incident detectors in road transport systems
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
[HTML][HTML] Pedestrian and vehicle detection in autonomous vehicle perception systems—A review
Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …
accidents, congestion and pollution. However, there are still challenges to overcome, for …
Evaluation of challenges to the adoption of intelligent transportation system for urban smart mobility
Abstract Implementing Intelligent Transport System (ITS) presents many challenges despite
its potential to enhance mobility, reduce congestion, and improve traffic management in …
its potential to enhance mobility, reduce congestion, and improve traffic management in …
[HTML][HTML] Pedestrian and vehicle behaviour prediction in autonomous vehicle system—A review
LG Galvão, MN Huda - Expert Systems with Applications, 2023 - Elsevier
Autonomous vehicles (AV) s have become a trending topic nowadays since they have the
potential to solve traffic problems, such as accidents and congestion. Although AV systems …
potential to solve traffic problems, such as accidents and congestion. Although AV systems …
[PDF][PDF] Convolutional neural network for the detection of coronavirus based on X-ray images
EH Ahmed, MRM Alsemawi, MH Mutar… - Indonesian Journal of …, 2022 - researchgate.net
Nowadays, the coronavirus disease (COVID-19) is considered an ongoing pandemic that
spread quickly in most countries around the world. The COVID-19 causes severe acute …
spread quickly in most countries around the world. The COVID-19 causes severe acute …
Intelligent algorithms for incident detection and management in smart transportation systems
H Yijing, W Wei, Y He, W Qihong, X Kaiming - Computers and Electrical …, 2023 - Elsevier
Prior research on traffic event detection has encountered two problems: limited sample
numbers and unbalanced datasets. Moreover, the real-time properties of event detection …
numbers and unbalanced datasets. Moreover, the real-time properties of event detection …
Controllable probability-limited and learning-based human-like vehicle behavior and trajectory generation for autonomous driving testing in highway scenario
C Wei, F Hui, AJ Khattak, Y Zhang, W Wang - Expert Systems with …, 2023 - Elsevier
Virtual simulation testing (VST) has become the main testing method for autonomous driving
systems (ADSs) and autonomous driving assistance algorithms (ADAAs). The behavior and …
systems (ADSs) and autonomous driving assistance algorithms (ADAAs). The behavior and …
Object detection in autonomous vehicles under adverse weather: a review of traditional and deep learning approaches
Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent
transportation systems requires computer vision technology to be effective in detecting …
transportation systems requires computer vision technology to be effective in detecting …
[PDF][PDF] Adaptive traffic lights based on traffic flow prediction using machine learning models
Traffic congestion prediction is one of the essential components of intelligent transport
systems (ITS). This is due to the rapid growth of population and, consequently, the high …
systems (ITS). This is due to the rapid growth of population and, consequently, the high …
Extreme learning machine for automatic language identification utilizing emotion speech data
The technique used for recognizing a language by utilizing pronounced speech is called
spoken Language Identification (LID). This field has a high significance in the interaction …
spoken Language Identification (LID). This field has a high significance in the interaction …