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Recent advances in traffic accident analysis and prediction: a comprehensive review of machine learning techniques
Traffic accidents pose a severe global public health issue, leading to 1.19 million fatalities
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …
Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning …
Chain reaction crashes (CRC) begin with a two-vehicle collision and rapidly intensify as
more vehicles get directly involved. CRCs result in more extensive damage compared to two …
more vehicles get directly involved. CRCs result in more extensive damage compared to two …
Real-time accident anticipation for autonomous driving through monocular depth-enhanced 3D modeling
The primary goal of traffic accident anticipation is to foresee potential accidents in real time
using dashcam videos, a task that is pivotal for enhancing the safety and reliability of …
using dashcam videos, a task that is pivotal for enhancing the safety and reliability of …
[HTML][HTML] Machine learning for predictions of road traffic accidents and spatial network analysis for safe routing on accident and congestion-prone road networks
Y Berhanu, D Schröder, BT Wodajo, E Alemayehu - Results in Engineering, 2024 - Elsevier
Road traffic accidents (RTAs) and the resulting traffic congestion are global concerns mainly
in metropolitan environments. The need for road safety is directly correlated with the rapidly …
in metropolitan environments. The need for road safety is directly correlated with the rapidly …
Enhancing work zone crash severity analysis: The role of synthetic minority oversampling technique in balancing minority categories
Road work zones are becoming increasingly common due to the aging infrastructure and
the need for capacity enhancement. They present significant safety risks due to narrow …
the need for capacity enhancement. They present significant safety risks due to narrow …
Investigating older driver crashes on high-speed roadway segments: a hybrid approach with extreme gradient boosting and random parameter model
Older drivers are often more susceptible to crashes due to age-related physical and
cognitive limitations, particularly in complex driving environments. Considering the limited …
cognitive limitations, particularly in complex driving environments. Considering the limited …
Analyzing urban traffic crash patterns through spatio-temporal data: A city-level study using a sparse non-negative matrix factorization model with spatial constraints …
Urban traffic crashes represent a significant challenge affecting public safety and urban
mobility worldwide. This study introduces a novel application of Sparse Non-negative Matrix …
mobility worldwide. This study introduces a novel application of Sparse Non-negative Matrix …
A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability
One of the main objectives in improving the quality of life for individuals with disabilities,
especially those experiencing mobility issues such as the elderly, is to enhance their day-to …
especially those experiencing mobility issues such as the elderly, is to enhance their day-to …
[HTML][HTML] Machine learning assisted crystal structure prediction made simple
Crystal structure prediction (CSP) plays a crucial role in condensed matter physics and
materials science, with its importance evident not only in theoretical research but also in the …
materials science, with its importance evident not only in theoretical research but also in the …
LSTM Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data
Crash risk evaluation studies mainly established the relationship between the macro traffic
status and crashes. However, the impact of risky driving behavior, a significant factor in …
status and crashes. However, the impact of risky driving behavior, a significant factor in …