Results 181 to 190 of about 1,628,690 (350)
Mammalian dispersal is characterized by long‐distance movements, and whether dispersal is sex‐dependent and occurs at pre‐saturation densities affects colonization speed and concurrent pathogen spread. In Scandinavia, Sweden classifies wild boar Sus scrofa as a native species and retains high densities, while Norwegian authorities considers it an alien
Christer M. Rolandsen+12 more
wiley +1 more source
In addition to saved travel time, the London congestion charge has saved lives [PDF]
What was the effect of the London congestion charge on traffic accidents injuries and fatalities? Research by Colin Green finds that the introduction of the London congestion charge reduced the count of traffic accidents in Central London by 30 a month –
Green, Colin
core
Graph neural network‐based attack prediction for communication‐based train control systems
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao+3 more
wiley +1 more source
AVD2: Accident Video Diffusion for Accident Video Description [PDF]
Traffic accidents present complex challenges for autonomous driving, often featuring unpredictable scenarios that hinder accurate system interpretation and responses. Nonetheless, prevailing methodologies fall short in elucidating the causes of accidents and proposing preventive measures due to the paucity of training data specific to accident ...
arxiv
Weather types and traffic accidents.
Traffic accident data for the Zagreb area for the 1981-1982 period were analyzed to investigate possible relationships between the daily number of accidents and the weather conditions that occurred for the 5 consecutive days, starting two days before the particular day.
openaire +2 more sources
Accident Impact Prediction based on a deep convolutional and recurrent neural network model [PDF]
Traffic accidents pose a significant threat to public safety, resulting in numerous fatalities, injuries, and a substantial economic burden each year. The development of predictive models capable of real-time forecasting of post-accident impact using readily available data can play a crucial role in preventing adverse outcomes and enhancing overall ...
arxiv
EQ-TAA: Equivariant Traffic Accident Anticipation via Diffusion-Based Accident Video Synthesis [PDF]
Traffic Accident Anticipation (TAA) in traffic scenes is a challenging problem for achieving zero fatalities in the future. Current approaches typically treat TAA as a supervised learning task needing the laborious annotation of accident occurrence duration.
arxiv
Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification [PDF]
This study proposes an integrated machine learning framework for advanced traffic analysis, combining time-series forecasting, classification, and computer vision techniques. The system utilizes an ARIMA(2,0,1) model for traffic prediction (MAE: 2.1), an XGBoost classifier for accident severity classification (100% accuracy on balanced data), and a ...
arxiv
Alcohol and Road Traffic Accidents [PDF]
A. B. Cassie, W. R. Allan
openaire +3 more sources