Showing 141 - 160 results of 805 for search 'road developing algorithm', query time: 0.07s Refine Results
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    Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

    Published 2025-06-01
    “…Using data collected from an instrumented road in Brisbane, Australia, which includes pavement moisture and climatic factors, the study develops predictive models to forecast moisture content at future time steps. …”
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  3. 143

    A Lightweight Method for Road Defect Detection in UAV Remote Sensing Images with Complex Backgrounds and Cross-Scale Fusion by Wenya Zhang, Xiang Li, Lina Wang, Danfei Zhang, Pengfei Lu, Lei Wang, Chuanxiang Cheng

    Published 2025-06-01
    “…Moreover, the CAA attention mechanism is employed to strengthen the model’s global feature extraction abilities; (2) a cross-scale feature fusion strategy known as GFPN is developed to tackle the problem of diverse target scales in road damage detection; (3) to reduce computational resource consumption, a lightweight detection head called EP-Detect has been specifically designed to decrease the model’s computational complexity and the number of parameters; and (4) the model’s localization capability for road damage targets is enhanced by integrating an optimized regression loss function called WiseIoUv3. …”
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  4. 144

    Regenerative braking control algorithm using the accelerator pedal by Butarovich D.O., Skotnikov G.I., Eranosyan A.V.

    Published 2023-03-01
    “…The developed algorithm is implemented in the MATLAB/Simulink simulation environment. …”
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  5. 145

    Energy-Efficient Route and Velocity Planning for Electric Vehicles: A Hierarchical Eco-Driving Framework Integrating Traffic and Road Information by Dong Xie, Jianhua Guo, Yu Jiang, Zhuoran Hou, Jintao Deng

    Published 2025-01-01
    “…Finally, based on the route information from the upper level, along with traffic, kinematic, and road information, a convex optimization algorithm is employed to achieve accurate and efficient velocity planning. …”
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  6. 146

    Integrated Optimization of Emergency Evacuation Routing for Dam Failure-Induced Flooding: A Coupled Flood–Road Network Modeling Approach by Gaoxiang An, Zhuo Wang, Meixian Qu, Shaohua Hu

    Published 2025-04-01
    “…Using aerial photography from an unmanned aerial vehicle, the downstream road network of a reservoir was mapped. A coupled flood–road network coupling model was then developed by integrating flood propagation data with road network information. …”
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    Crossroad control algorithm based on V2I-interaction by A. N. Klimovich, V. N. Shuts

    Published 2019-02-01
    “…Constantly increasing number of vehicles and traffic volume requires improvement of methods and algorithms of traffic control. Such improvement becomes possible due to the spreading of global navigation and positioning systems, the development of wireless communication technologies and mobile internet, the advance in specialized technologies for interaction between vehicles and road infrastructure (V2I), the enhancement of machine learning models, computer vision algorithms, the emergence of driverless cars. …”
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  12. 152

    Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

    Published 2025-07-01
    “…Experiments show that the improved algorithm reduces parameters by 50.2%, computational load by 46.3%, and model size by 47.6% compared to the original algorithm, with a model size of only 3.3 MB. …”
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    Dataset on fatal road traffic crash attributes extracted via natural language processing of online media articles in IndiaMendeley Data by Ashutosh Ashutosh, Sai Chand

    Published 2025-06-01
    “…Road traffic crashes are among the leading causes of death globally, resulting in substantial social and economic impacts. …”
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  16. 156

    An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation by Moataz Bellah Ben Khedher, Dukgeun Yun

    Published 2024-11-01
    “…This study validates the model’s performance with real-world crash data from 2011 to 2015 in South Korea, demonstrating superior accuracy in both the classification and regression stages compared to other machine learning algorithms and traditional models. These findings have significant implications for traffic safety research and policymaking, offering stakeholders a more accurate and interpretable tool for crash data analysis to develop targeted safety interventions.…”
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    Vehicle classification algorithm based on binary proximity sensors and neural networks by ZHANG Wei, TAN Guo-zhen, DING Nan, SHANG Yao

    Published 2008-01-01
    “…To improve the classification accuracy, a new algorithm was developed with binary proximity magnetic sen- sors and back propagation neural networks. …”
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