AIMC Topic: Accidents, Traffic
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Support vector machine in crash prediction at the level of traffic analysis zones: Assessing the spatial proximity effects.
Accident; analysis and prevention
Jun 16, 2015
In zone-level crash prediction, accounting for spatial dependence has become an extensively studied topic. This study proposes Support Vector Machine (SVM) model to address complex, large and multi-dimensional spatial data in crash prediction. Correl...
A remotely piloted aircraft system in major incident management: concept and pilot, feasibility study.
BMC emergency medicine
Jun 10, 2015
BACKGROUND: Major incidents are complex, dynamic and bewildering task environments characterised by simultaneous, rapidly changing events, uncertainty and ill-structured problems. Efficient management, communication, decision-making and allocation of...
Driver's behavioural changes with new intelligent transport system interventions at railway level crossings--A driving simulator study.
Accident; analysis and prevention
May 6, 2015
Improving safety at railway level crossings is an important issue for the Australian transport system. Governments, the rail industry and road organisations have tried a variety of countermeasures for many years to improve railway level crossing safe...
Application of time dependent probabilistic collision state checkers in highly dynamic environments.
PloS one
Mar 23, 2015
When computing the trajectory of an autonomous vehicle, inevitable collision states must be avoided at all costs, so no harm comes to the device or pedestrians around it. In dynamic environments, considering collisions as binary events is risky and i...
Predictive modeling in pediatric traumatic brain injury using machine learning.
BMC medical research methodology
Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Vomiting
Unconsciousness
Humans
Machine Learning
Algorithms
Models, Theoretical
Databases, Factual
Brain Injuries
Retrospective Studies
Child, Preschool
Accidents, Traffic
Population Surveillance
Tomography, X-Ray Computed
Female
Child
Skull Fractures
Male
ROC Curve
Multivariate Analysis
Case-Control Studies
Logistic Models
Injury Severity Score
Prediction of road traffic death rate using neural networks optimised by genetic algorithm.
International journal of injury control and safety promotion
Dec 4, 2013
Road traffic injuries (RTIs) are realised as a main cause of public health problems at global, regional and national levels. Therefore, prediction of road traffic death rate will be helpful in its management. Based on this fact, we used an artificial...
Context-dependent effects of built environment factors on pedestrian-injury severities with imbalanced and high dimensional crash data.
Accident; analysis and prevention
Aug 1, 2025
Built environment is an important component that influences pedestrian injury severities in pedestrian-vehicle crashes. Previous studies indicated that the effects of various built environment factors on pedestrian injury severities are heterogeneous...
Ensuring SOTIF: Enhanced object detection techniques for autonomous driving.
Accident; analysis and prevention
Aug 1, 2025
Neural networks' insufficient interpretability can lead to unguaranteed Safety of the Intended Functionality (SOTIF) issues when perceptual results are not always met in autonomous driving applications. To address the safety shortcomings in the curre...
Artificial intelligence automated solution for hazard annotation and eye tracking in a simulated environment.
Accident; analysis and prevention
Aug 1, 2025
High-fidelity simulators and sensors are commonly used in research to create immersive environments for studying real-world problems. This setup records detailed data, generating large datasets. In driving research, a full-scale car model repurposed ...
Opposing-through crash risk forecasting using artificial intelligence-based video analytics for real-time application: integrating generalized extreme value theory and time series forecasting models.
Accident; analysis and prevention
Aug 1, 2025
Recent advancements in artificial intelligence (AI) and traffic sensing technologies provide significant opportunities for real-time crash risk forecasting. While forecasting based on historical crash data yields macroscopic insights into future cras...
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