AIMC Topic: Safety

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Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers.

Cyberpsychology, behavior and social networking Jun 25, 2024
This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health dis...
Humans Artificial Intelligence Mental Disorders Accidents, Aviation Pilots Aviation Mental Health Safety
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Supporting equitable and responsible highway safety improvement funding allocation strategies - Why AI prediction biases matter.

Accident; analysis and prevention Apr 17, 2024
The existing methodologies for allocating highway safety improvement funding closely rely on the utilization of crash prediction models. Specifically, these models produce predictions that estimate future crash hazard levels in different geographical...
Safety Artificial Intelligence Resource Allocation Socioeconomic Factors Bias Models, Statistical Accidents, Traffic Humans
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Comprehensive Assessment of Artificial Intelligence Tools for Driver Monitoring and Analyzing Safety Critical Events in Vehicles.

Sensors (Basel, Switzerland) Apr 12, 2024
Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing a range of sensors and techniques, offer an effective method to monitor and alert drivers to minimize driver error and reduce risky driving behaviors, thus h...
Humans Artificial Intelligence Automobile Driving Accidents, Traffic Safety
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Perceptions of vulnerable roadway users on autonomous vehicle regulations.

Journal of safety research Feb 23, 2024
INTRODUCTION: Development and implementation of autonomous vehicle (AV) related regulations are necessary to ensure safe AV deployment and wide acceptance among all roadway users. Assessment of vulnerable roadway users' perceptions on AV regulations ...
Safety Perception Bicycling Pedestrians Accidents, Traffic Female Automobiles Aged Walking Middle Aged Young Adult Adult Surveys and Questionnaires Male Humans Adolescent
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Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning.

Accident; analysis and prevention Jan 12, 2024
Road safety is a critical concern that impacts both human lives and urban development, drawing significant attention from city managers and researchers. The perception of road safety has gained increasing research interest due to its close connection...
Safety Built Environment Humans Deep Learning Environment Design Accidents, Traffic Cities
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A Literature Review on Safety Perception and Trust during Human-Robot Interaction with Autonomous Mobile Robots That Apply to Industrial Environments.

IISE transactions on occupational ergonomics and human factors Jan 8, 2024
Occupational ApplicationsAutonomous mobile robots are used in manufacturing and warehousing industries, to transport material across the facility and deliver parts to work cells. Human workers might encounter or interact with these robots in aisle wa...
Humans Trust Robotics Man-Machine Systems Safety Perception
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A spatio-temporal deep learning approach to simulating conflict risk propagation on freeways with trajectory data.

Accident; analysis and prevention Nov 18, 2023
On freeways, sudden deceleration or lane-changing by vehicles can trigger conflict risk that propagates backward in a specific pattern. Simulating this pattern of conflict risk propagation can not only help prevent crashes but is also vital for the d...
Safety Automobile Driving Deep Learning Accidents, Traffic Humans Computer Simulation
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Before-after safety evaluation of part-time protected right-turn signals: An extreme value theory approach by applying artificial intelligence-based video analytics.

Accident; analysis and prevention Oct 19, 2023
Extreme value theory models have opened doors for before-after safety evaluation of engineering treatments using traffic conflict techniques. Recent advancements in automated conflict extraction technologies have further expedited conflict-based safe...
Environment Design Neural Networks, Computer Humans Safety Artificial Intelligence Accidents, Traffic Cities
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A Fuzzy Clustering Approach to Identify Pedestrians' Traffic Behavior Patterns.

Journal of research in health sciences Sep 29, 2023
BACKGROUND: Pattern recognition of pedestrians' traffic behavior can enhance the management efficiency of interested groups by targeting access to them and facilitating planning via more specific surveys. This study aimed to evaluate the pedestrians'...
Safety Surveys and Questionnaires Cross-Sectional Studies Humans Pedestrians Male Cluster Analysis Walking Adult Accidents, Traffic
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LiDAR-Based Maintenance of a Safe Distance between a Human and a Robot Arm.

Sensors (Basel, Switzerland) Apr 26, 2023
This paper demonstrates the capabilities of three-dimensional (3D) LiDAR scanners in supporting a safe distance maintenance functionality in human-robot collaborative applications. The use of such sensors is severely under-utilised in collaborative w...
Humans Robotics Safety
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