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    What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s

    Lee, Yongsung / Lee, Bumsoo | Elsevier | 2022
    Schlagwörter: Machine learning

    Interpretable data-driven demand modelling for on-demand transit services

    Alsaleh, Nael / Farooq, Bilal | Elsevier | 2021
    Schlagwörter: Machine learning

    Nonlinear and threshold effects of the built environment on e-scooter sharing ridership

    Yang, Hongtai / Zheng, Rong / Li, Xuan et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    The uneven geography of US air traffic delays: Quantifying the impact of connecting passengers on delay propagation

    Sismanidou, Athina / Tarradellas, Joan / Suau-Sanchez, Pere | Elsevier | 2021
    Schlagwörter: Machine learning algorithms

    A machine learning approach to analyzing spatiotemporal impacts of mobility restriction policies on infection rates

    Young Song, Annie / Lee, Seunghyeon / Wong, S.C. | Elsevier | 2023
    Schlagwörter: Machine learning approach

    Representative truck activity patterns from anonymous mobile sensor data

    Freier Zugriff
    Taslima Akter / Sarah Hernandez | DOAJ | 2023
    Schlagwörter: Machine learning

    Acceptability modeling of autonomous mobility on-demand services with on-board ride sharing using interpretable Machine Learning

    Freier Zugriff
    Panagiotis Fafoutellis / Eleni G. Mantouka / Eleni I. Vlahogianni et al. | DOAJ | 2022
    Schlagwörter: Interpretable Machine Learning

    Real-time risk assessment of aircraft landing based on finite element-virtual prototype-machine learning co-simulation on wet runways

    Freier Zugriff
    Xingyi Zhu / Yanan Wu / Yang Yang et al. | DOAJ | 2024
    Schlagwörter: Machine learning

    The impact of the combination equilibrium of horizontal and sag-vertical curves on safety

    Freier Zugriff
    Xiaofei Wang / Siyu Li / Tianjie Shen et al. | DOAJ | 2023
    Schlagwörter: Machine learning

    Estimation of daily bicycle traffic using machine and deep learning techniques

    Miah, Md Mintu / Hyun, Kate Kyung / Mattingly, Stephen P. et al. | Online Contents | 2022
    Schlagwörter: Machine learning

    Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

    Freier Zugriff
    Tianyang Luo / Junhua Wang / Ting Fu et al. | DOAJ | 2023
    Schlagwörter: Machine learning approach

    Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis

    Freier Zugriff
    Seyedmirsajad Mokhtarimousavi / Armin Mehrabi | DOAJ | 2023
    Schlagwörter: Machine learning

    Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design

    Worthey, Hampton / Yang, Jidong J. / Kim, S. Sonny | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Imputing trip purposes for long-distance travel

    Lu, Yijing / Zhang, Lei | Online Contents | 2015
    Schlagwörter: Machine learning

      Imputing trip purposes for long-distance travel

      Lu, Yijing / Zhang, Lei | Online Contents | 2015
      Schlagwörter: Machine learning

    Parking Availability Prediction in Smart City

    Abdellaoui Alaoui, El Arbi / Koumetio Tekouabou, Stephane Cedric | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA

    Hong, Shuyao / Zhao, Fang / Livshits, Vladimir et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A joint machine learning and optimization approach for incremental expansion of electric vehicle charging infrastructure

    Golsefidi, Atefeh Hemmati / Hüttel, Frederik Boe / Peled, Inon et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Disclosing the Impact of Micro-level Environmental Characteristics on Dockless Bikeshare Trip Volume: A Case Study of Ithaca

    Song, Qiwei / Li, Wenjing / Li, Jintai et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning

    Hasan, Raed Abdullah / Irshaid, Hafez / Alhomaidat, Fadi et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model

    Freier Zugriff
    Junhua Wang / Hao Song / Ting Fu et al. | DOAJ | 2022
    Schlagwörter: Machine learning

    Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM

    Kim, Hyun Il / Kim, Byung Hyun | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression

    Hu, Ta-Yin | Online Contents | 2015
    Schlagwörter: Machine learning

    Machine learning for multi-jurisdictional optimal traffic corridor control

    Jacob, Celine / Abdulhai, Baher | Elsevier | 2009
    Schlagwörter: Machine learning

    Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods

    Le, Ba-Anh / Vu, Viet-Hung / Seo, Soo-Yeon et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

    Jehanzaib, Muhammad / Shah, Sabab Ali / Son, Ho Jun et al. | Springer Verlag | 2022
    Schlagwörter: Machine-learning classifier

    Generalized Linear Models to Identify the Impact of Road Geometric Design Features on Crash Frequency in Rural Roads

    Khedher, Moataz Bellah Ben / Yun, Dukgeun | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps

    Liu, Yicong / Miller, Eric J. / Habib, Khandker Nurul | ASCE | 2023
    Schlagwörter: Machine learning model

    Development of a Novel Prediction Model for Interface Shear Strength in Asphalt Pavement Using the CART Model

    Al-Jarazi, Rabea / Rahman, Ali / Ai, Changfa et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports

    Khattak, Afaq / Chan, Pak-wai / Chen, Feng et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Interpretability Analysis of Shear Capacity in Reinforced Recycled Aggregate Concrete Beams Using Tree Models

    Li, Li / Qin, Yapeng / Zhang, Yang et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Evaluation of Machine Learning Algorithms for Classification of Infrastructure Elements in Complex Structures

    Yilmaz, Yalcin / Bayrak, Onur Can / Soycan, Arzu | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns

    Yu, Yong / Hu, Tianyu | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Structural Deformation Sensing Based on Distributed Optical Fiber Monitoring Technology and Neural Network

    Hou, Gong-Yu / Li, Zi-Xiang / Wang, Kai-Di et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Hybrid Prediction Model of Engineering Classification of Slope Rock Mass Based on DCWA-EO-AdaBoost Model and BQ Method

    Wang, Han / Gao, Yongtao / Xie, Yongsheng et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning

    Lee, Kyeong Seok / Ahn, Jin-Hee / Park, Hae-Yong et al. | Springer Verlag | 2023
    Schlagwörter: Machine-learning regression

    Trends, Issues, and Challenges in the Domain of IoT-Based Vehicular Cloud Network

    Musaddiq, Arslan / Ali, Rashid / Bajracharya, Rojeena et al. | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Prediction of Axial Capacity of RC Columns Reinforced with Ferro-cement Jacketing: A Data-driven Machine Learning Strategy

    Nishant / Arora, Harish Chandra / Kumar, Aman et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Presenting a Hybrid Scheme of Machine Learning Combined with Metaheuristic Optimizers for Predicting Final Cost and Time of Project

    Bakhshi, Reza / Moradinia, Sina Fard / Jani, Rasool et al. | Springer Verlag | 2022
    Schlagwörter: Hybrid machine learning

    Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting

    Wei, Yaxing / Hashim, Huzaifa / Chong, K. L. et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Do Perceptions of Hydrogen Energy Effect on Vehicle Preference? A Learning-Based Model Approach

    Kim, Woojin / Kim, Junghwa / Jang, Jeong Ah et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    A BO-LSTM-Based Rapid Evaluation Method of PCCP Structural Safety under Falling Rock Impacts

    Cheng, Lin / Mao, Haoran / Zhang, Yuheng et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Determinants of Electricity Consumption of Energy-Vulnerable Group Using Ensemble Gradient-Boosting Algorithm

    Kim, Hyunsoo / Kwon, Youngwoo / Choi, Yeol | Springer Verlag | 2022
    Schlagwörter: Machine learning

    A Machine Learning Based Method for Real-Time Queue Length Estimation Using License Plate Recognition and GPS Trajectory Data

    Liu, Dongbo / An, Chengchuan / Yasir, Muhammad et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Data-Driven Approach for the Rapid Simulation of Urban Flood Prediction

    Kim, Hyun Il / Han, Kun Yeun | Springer Verlag | 2020
    Schlagwörter: Machine learning

    A Machine Learning Tool for Pavement Design and Analysis

    Yang, Guangwei / Mahboub, Kamyar C. / Renfro, Ryan L. et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    PSO-based Machine Learning Methods for Predicting Ground Surface Displacement Induced by Shallow Underground Excavation Method

    Kong, Fanchao / Tian, Tao / Lu, Dechun et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning methods

    Machine Learning Applications for Internet of Flying Vehicles in Case of Critical and Environmental Cases

    Dimililer, Kamil / Ever, Yoney Kirsal / Al-Turjman, Fadi | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Pioneering Data Quality and Security in Smart Grid

    Roy, Bright / Tripathi, Prashant / Goel, Rahul | Springer Verlag | 2022
    Schlagwörter: Machine learning