Autonomous Electric Vehicle Charging Station Along a High-Traffic Road as a Model for Efficient Implementation of Emission-Free Economy by Robert Kaznowski, Wojciech Ambroszko, Dariusz Sztafrowski

Get full text

OMRoadNet: A Self-Training-Based UDA Framework for Open-Pit Mine Haul Road Extraction from VHR Imagery by Suchuan Tian, Zili Ren, Xingliang Xu, Zhengxiang He, Wanan Lai, Zihan Li, Yuhang Shi

“…A novel exponential moving average unit (EMAU) enhances feature robustness by adaptively weighting historical states, while morphology-aware augmentation simulates variable road widths and spectral noise. Evaluations on cross-domain datasets demonstrate state-of-the-art performance with 92.16% precision, 80.77% F1-score, and 67.75% IoU (intersection over union), outperforming baseline models by 4.3% in precision and reducing annotation dependency by 94.6%. …”
Get full text

Hysteresis Model of RC Column Considering Cumulative Damage Effect under Variable Axial Load by Jie Shen, Bo Chen, Guangjun Sun

Get full text

Drought and salinity intrusion in the Lower Chao Phraya River: variability analysis and modeling mitigation approaches by S. Tomkratoke, S. Kongkulsiri, P. Narenpitak, S. Sirisup

Get full text

Submillimeter and Mid-infrared Variability of Young Stellar Objects in the M17 H II Region by Zhiwei Chen, Doug Johnstone, Carlos Contreras Peña, Jeong-Eun Lee, Sheng-Yuan Liu, Gregory Herczeg, Steve Mairs, Geumsook Park, Kee-Tae Kim, Mi-Ryang Kim, Keping Qiu, Yao-Te Wang, Xu Zhang, Megan Reiter, The JCMT Transient Team

Get full text

A Variable Horizon Model Predictive Control for Magnetorheological Semi-Active Suspension with Air Springs by Gang Li, Lin Zhong, Wenjun Sun, Shaohua Zhang, Qianjie Liu, Qingsheng Huang, Guoliang Hu

“…Under variable speed road conditions, VHMPC improved the sprung mass acceleration, dynamic tire deformation, and suspension deflection by 7.191%, 7.936%, and 22.222%, respectively, compared to MPC.…”
Get full text

Spatiotemporal variable and parameter selection using sparse hybrid genetic algorithm for traffic flow forecasting by Xiaobo Chen, Zhongjie Wei, Xiang Liu, Yingfeng Cai, Zuoyong Li, Feng Zhao

“…Complex spatiotemporal interactions between the target road segment and other road segments can provide important information for the accurate forecasting. …”
Get full text

Effect of variability of material properties on resistance of existing post-tensioned concrete bridge – case study by Aleš Mezera, Milan Holý, Miroslav Sýkora

“…Focusing on a specific road bridge, the effect of variations of important basic variables on load-bearing capacity is investigated. …”
Get full text

A geometry projection method for designing and optimizing additively manufactured variable-stiffness composite laminates by Yogesh Gandhi, Julián Norato, Ana Pavlovic, Giangiacomo Minak

Get full text

Improving soil pH prediction and mapping using anthropogenic variables and machine learning models by Daocheng Li, Erlong Xiao, Yingxin Xia, Xingyu Liang, Mengxin Guo, Lixin Ning, Jun Yan

“…By incorporating five anthropogenic variables (fertilization, population density, heat flux, urbanization, road density) alongside 24 environmental factors, model performance improved significantly (R² up to 0.56 for RF). …”
Get full text

Urinary metals and phenols mixtures, oxidative stress, and heart rate variability: Association and mediation analyses by Min Xiang, Huihua Yang, Ziqian Zhang, Wenting Guo, Miao Liu, Chong Liu, Suli Huang, Xiaomin Zhang, Liangle Yang

Get full text

Precipitation influence assessment on accidents risk outside built-up areas by E. V. Pechatnova, K. E. Safronov

“…The study applied a relative risk analysis, which is calculated by comparing observed variables of two groups: total rainfall data (climatic frequencies) and accident sampling (frequency at time of accident).The study bases on the data of road accidents with victims and material damage that have been registered on the А-322 road (Barnaul – Rubtsovsk – the state border with the Republic of Kazakhstan) during the period from 2012 to 2017.Results. …”
Get full text

Enhancing Moisture Damage Resistance in Asphalt Concrete: The Role of Mix Variables, Hydrated Lime and Nanomaterials by Noor N. Adwar, Amjad H. Albayati

“…Moisture-induced damage is a serious problem that severely impairs asphaltic pavement and affects road serviceability. This study examined numerous variables in asphalt concrete mixtures to assess their impact on moisture damage resistance. …”
Get full text

Investigating Contributors to Hit-and-Run Violations in Urban River-Crossing Road Tunnels: A Random Parameter Logit Model With Heterogeneity in Means by Dengzhong Wang, Jiayu Zhou, Gen Li, Haigen Min, Chenming Jiang, Linjun Lu

“…The hit-and-run caused a delay in medical assistance to the victim and posed a significant threat to the safety of drivers in road tunnels. This study investigates the potential factors contributing to drivers’ hit-and-run violations in river-crossing tunnels. …”
Get full text

Exploring Quasar Variability with ZTF at 0 < z < 3: A Universal Relation with the Eddington Ratio by Hygor Benati Gonçalves, Swayamtrupta Panda, Thaisa Storchi Bergmann, Edward M. Cackett, Michael Eracleous

Get full text

Green and Reliable Freight Routing Problem in the Road-Rail Intermodal Transportation Network with Uncertain Parameters: A Fuzzy Goal Programming Approach by Yan Sun

“…The operations of road transportation are time flexible, while rail transportation has fixed departure times. …”
Get full text

Prolonged grief and posttraumatic stress in parents who lost a child in a road traffic accident: A latent class analysis by I. van Dijk, P.A. Boelen, J. de Keijser, L. Reitsma, L.I.M. Lenferink

“…Background: The traumatic loss of a child in a road traffic accident (RTA) can lead to mental health issues in parents, such as symptoms of prolonged grief (PG) and posttraumatic stress (PTS). …”
Get full text

Designing metal halide-based road illumination systems in developing countries using regression and neural networksThe dataset is available through this link by Sourin Bhattacharya, Khondekar Lutful Hassan, Pallav Dutta

“…Luminaire power per unit road length (τ, W/km) and standard specular factor (S1) were found to be the most important predictor variables for the prediction of photometric parameters and installation energy efficiency respectively. …”
Get full text

Advancing Sustainable Road Construction with Multiple Regression Analysis, Regression Tree Models, and Case-Based Reasoning for Environmental Load and Cost Estimation by Joon-Soo Kim

“…Despite advancements in building technologies and energy-efficient materials, accurate and reliable predictions for environmental load and construction costs during the planning and design stages remain limited due to insufficient data systems and complex project variables. This study explores the application of machine-learning techniques to predict environmental loads and construction costs in road projects, using a dataset of 100 national road construction cases in the Republic of Korea. …”
Get full text

Development of Ideal Hump Geometric Characteristics for Different Vehicle Types “Case Study” Urban Roads in Kafr El-Sheikh City (Egypt) by Sayed A. Shwaly, Mohamed H. Zakaria, Amal H. Al-Ayaat

“…Three streets from the urban road network of Kafr El-Sheikh city were chosen to collect field data. …”
Get full text