AIMC Topic: Accidents, Traffic

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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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Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review.

Accident; analysis and prevention Nov 15, 2023
Accurately modelling crashes, and predicting crash occurrence and associated severities are a prerequisite for devising countermeasures and developing effective road safety management strategies. To this end, crash prediction modelling using machine ...
Humans Forecasting Accidents, Traffic Safety Management Machine Learning Algorithms
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Improving model robustness of traffic crash risk evaluation via adversarial mix-up under traffic flow fundamental diagram.

Accident; analysis and prevention Oct 26, 2023
Recent state-of-art crash risk evaluation studies have exploited deep learning (DL) techniques to improve performance in identifying high-risk traffic operation statuses. However, it is doubtful if such DL-based models would remain robust to real-wor...
Humans Accidents, Traffic Neural Networks, Computer Logistic Models
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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...
Cities Humans Neural Networks, Computer Environment Design Safety Artificial Intelligence Accidents, Traffic
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On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry.

BMC medical informatics and decision making Oct 9, 2023
BACKGROUND: Providing optimal care for trauma, the leading cause of death for young adults, remains a challenge e.g., due to field triage limitations in assessing a patient's condition and deciding on transport destination. Data-driven On Scene Injur...
Humans Artificial Intelligence Accidents, Traffic Injury Severity Score Young Adult Wounds and Injuries Triage Retrospective Studies Sweden
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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'...
Surveys and Questionnaires Safety Cluster Analysis Cross-Sectional Studies Pedestrians Humans Walking Male Accidents, Traffic Adult
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Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach.

Sensors (Basel, Switzerland) Sep 29, 2023
A large share of traffic accidents is related to driver fatigue. In recent years, many studies have been organized in order to diagnose and warn drivers. In this research, a new approach was presented in order to detect multi-level driver fatigue. A ...
Fatigue Accidents, Traffic Automobile Driving Deep Learning Electroencephalography Humans
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SWADAPT2: benefits of a collision avoidance assistance for powered wheelchair users in driving difficulty.

Disability and rehabilitation. Assistive technology Sep 8, 2023
PURPOSE: In France, tens of thousands of people use a wheelchair. Driving powered wheelchairs (PWCs) present risks for users and their families. The risk of collision in PWC driver increases with severity of disability and may reduce their independen...
Wheelchairs Automobile Driving France Middle Aged Persons with Disabilities Equipment Design Accidents, Traffic Robotics Adult Male Female Aged Humans
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A framework for proactive safety evaluation of intersection using surrogate safety measures and non-compliance behavior.

Accident; analysis and prevention Sep 4, 2023
In recent years, identifying road users' behavior and conflicts at intersections have become an essential data source for evaluating traffic safety. According to the Federal Highway Administration (FHWA), in 2020, more than 50% of fatal and injury cr...
Humans Algorithms Accidents, Traffic Artificial Intelligence Light Engineering
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Crash injury severity prediction considering data imbalance: A Wasserstein generative adversarial network with gradient penalty approach.

Accident; analysis and prevention Aug 31, 2023
For each road crash event, it is necessary to predict its injury severity. However, predicting crash injury severity with the imbalanced data frequently results in ineffective classifier. Due to the rarity of severe injuries in road traffic crashes, ...
Neural Networks, Computer Machine Learning Humans Sulfadiazine Research Design Accidents, Traffic Random Forest
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