1616 papers
This paper introduces RiskGrid, a novel data-driven framework that integrates proactive safety analytics into transport planning by generating continuous spatial risk maps, demonstrating superior computational efficiency and predictive accuracy in identifying crash hotspots compared to traditional methods like SSAM3.
This paper presents a fusion framework within the PHOEBE project that integrates long-term smartphone telematics with short-term YOLOv8-based video analytics at three Athens intersections, revealing that while both data sources capture consistent directional speed patterns, video-derived metrics expose localized deceleration and high micro-conflict risks that average speeds alone fail to predict, thereby demonstrating the value of combining wide-coverage and fine-grained data for proactive urban road safety management.
This study demonstrates that hard braking and acceleration events derived from connected vehicle data, specifically using a 0.25g threshold, serve as effective safety surrogates for predicting network-level crash rates on non-interstate highways, offering a faster alternative to traditional multi-year crash data analysis.
This paper proposes a hybrid CEEMDAN-LightGBM-Transformer model that decomposes wind power data, extracts and ranks nonlinear and linear features, and fuses them via a Transformer architecture to achieve highly accurate forecasting with significantly reduced error metrics compared to existing methods.
This study develops a CNN-LSTM and BiLSTM-based deep learning framework using ERA5 data to predict significant wave height in the Sunda Strait and introduces a novel Harbour Entry Risk Index (HERI) that significantly outperforms traditional wave height thresholds in detecting berthing risks, thereby enabling effective 6–12-hour early warnings for Merak-Bakauheni ferry operations.
This study investigates the enhanced performance of semi-supported steel-composite shear walls under monotonic and cyclic loading, demonstrating that concrete coatings significantly improve initial stiffness, strength, and energy dissipation while highlighting the critical influence of fault proximity on structural behavior.
This study assesses critical factors affecting low-cost housing implementation in Wolaita Sodo City, Ethiopia, identifying economic, socio-cultural, administrative, technical, and environmental issues as the primary challenges and recommending strategic improvements in planning, design, materials, labor, and financing to address them.
This study experimentally and analytically demonstrates that strengthening reinforced concrete beams with Near-Surface Mounted (NSM) CFRP U-wraps significantly enhances their flexural performance, load capacity, and ductility compared to unstrengthened controls, with finite element analysis confirming excellent correlation to the experimental results.
This paper proposes an intelligent algorithm for shot peen forming of complex integral panels that combines an extreme curvature-based path planning method with a linear interpolation model for feed rate prediction, ultimately achieving high-precision component forming validated through experimental testing on various stiffened structures.
This study employs a CFD-DPM sensitivity analysis of 243 simulation cases to demonstrate that air velocity and pipe diameter are the dominant factors influencing pressure drop in dilute-phase pneumatic conveying of teff grain, surpassing the impact of particle properties like sphericity, density, and diameter.