AIMC Topic: Safety
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Unusual Driver Behavior Detection in Videos Using Deep Learning Models.
Sensors (Basel, Switzerland)
Dec 28, 2022
Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safety of drivers and passengers in vehicles. Road accidents happen for various reasons, including health, mental stress, and fatigue. It is critical to m...
Transferability of multivariate extreme value models for safety assessment by applying artificial intelligence-based video analytics.
Accident; analysis and prevention
Mar 31, 2022
Traffic conflict techniques represent the state-of-the-art for road safety assessments. However, the lack of research on transferability of conflict-based crash risk models, which refers to applying the developed crash risk estimation models to a set...
Using multiple linear regression and BP neural network to predict critical meteorological conditions of expressway bridge pavement icing.
PloS one
Feb 4, 2022
Icy bridge deck in winter has tremendous consequences for expressway traffic safety, which is closely related to the bridge pavement temperature. In this paper, the critical meteorological conditions of icy bridge deck were predicted by multiple line...
A high-resolution trajectory data driven method for real-time evaluation of traffic safety.
Accident; analysis and prevention
Dec 2, 2021
Real-time safety evaluation is essential for developing proactive safety management strategy and improving the overall traffic safety. This paper proposes a method for real-time evaluation of road safety, in which traffic states and conflicts are com...
Investigating yielding behavior of heterogeneous vehicles at a semi-controlled crosswalk.
Accident; analysis and prevention
Aug 31, 2021
It is well known that pedestrians are vulnerable road users. Their risk of being injured or killed in road traffic crashes is even higher as vehicle drivers often violate traffic rules and do not slow down or yield in front of crosswalks. In order to...
Application of machine learning methods to pathogen safety evaluation in biological manufacturing processes.
Biotechnology progress
Feb 24, 2021
The production of recombinant therapeutic proteins from animal or human cell lines entails the risk of endogenous viral contamination from cell substrates and adventitious agents from raw materials and environment. One of the approaches to control su...
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research.
Accident; analysis and prevention
Feb 8, 2021
Vehicle automation safety must be evaluated not only for market success but also for more informed decision-making about Automated Vehicles' (AVs) deployment and supporting policies and regulations to govern AVs' unintended consequences. This study i...
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles.
Accident; analysis and prevention
Feb 5, 2021
The introduction of Automated Vehicles (AVs) into the transportation network is expected to improve system performance, but the impacts of AVs in mixed traffic streams have not been clearly studied. As AV's market penetration increases, the interacti...
Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterial.
Accident; analysis and prevention
Jan 23, 2021
Traffic congestion is monotonically increasing, especially in large cities, due to rapid urbanization. Traffic congestion not only deteriorates traffic operation and degrades traffic safety, but also imposes costs to the road users. The concerns asso...
Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network.
Accident; analysis and prevention
Oct 17, 2020
Pedestrian protection is an important component of road safety. Intersections are dangerous locations for pedestrians with mixed traffic. This paper aims to predict potential traffic conflicts between pedestrians and vehicles at signalized intersecti...
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