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    Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona

    Cottam, Adrian / Li, Xiaofeng / Ma, Xiaobo et al. | ASCE | 2024
    Schlagwörter: Machine learning

    Predicting passenger satisfaction in public transportation using machine learning models

    Ruiz, Elkin / Yushimito, Wilfredo F. / Aburto, Luis et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Exploring the contributions of Ebike ownership, transit access, and the built environment to car ownership in a developing city

    Sun, Shan / Guo, Liang / Yang, Shuo et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    In-store shopping trip predictions and impact factors during COVID-19 emergencies

    Imran, Md Ashraful / Hyun, Kate | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Analyzing multi-factor effects on travel well-being, including non-linear relationship and interaction

    Yu, Hongmei / Ye, Xiaofei / Liu, Lining et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Revisiting residential self-selection and travel behavior connection using a double machine learning

    Ding, Chuan / Wang, Yufan / Cao, Xinyu (Jason) et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Research on the air brake system of heavy haul trains based on neural network

    Zhou, Xinyi / Cheng, Shu / Yu, Tianjian et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Individual and synergistic associations among transit allowance, land use, and transit commuting

    Sun, Shan / Yang, Shuo / Guo, Liang et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Fake it till you make it: Synthetic data for emerging carsharing programs

    Albrecht, Tobias / Keller, Robert / Rebholz, Dominik et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Built environment’s nonlinear effects on mode shares around BRT and rail stations

    Sajjad Abdollahpour, Seyed / Buehler, Ralph / Le, Huyen T.K. et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    What Lies behind Idle Connection Time in Fast-Charging Public Stations: Evidence from Changshu, China

    Zhou, Xizhen / Ding, Xueqi / Ji, Yanjie | ASCE | 2024
    Schlagwörter: Machine learning

    Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities

    Tong, Zhaomin / Zhang, Ziyi / An, Rui et al. | Elsevier | 2024
    Schlagwörter: Machine learning model

    Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa

    Mouafik, Mohamed / Fouad, Mounir / Audet, Felix Antoine et al. | Elsevier | 2024
    Schlagwörter: Machine Learning

    Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach

    Ashik, F.R. / Sreezon, A.I.Z. / Rahman, M.H. et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning

    Sarosi, Robert / Montomoli, Francesco / Li, Zhihui et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Deciphering urban bike-sharing patterns: An in-depth analysis of natural environment and visual quality in New York's Citi bike system

    Gong, Wenjing / Rui, Jin / Li, Tianyu | Elsevier | 2024
    Schlagwörter: Machine learning

    Automatic Obstructive Sleep Apnea Identification Using First Order Statistics Features of Electrocardiogram and Machine Learning

    Indrawati, Aida Noor / Nuryani, Nuryani / Wiharto, Wiharto et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Risk-aware and Robust Approaches for Machine Learning-supported Model Predictive Control for Iterative Processes

    Freier Zugriff
    Morabito, Bruno | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    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

    Adaptive human-robot policy blending for shared control teleoperation

    Freier Zugriff
    Oh, Yoojin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    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

    Modelling Uncertainties and Sensitivity Analysis of Landslide Susceptibility Prediction under Different Environmental Factor Connection Methods and Machine Learning Models

    Huang, Faming / Xiong, Haowen / Zhou, Xiaoting et al. | Springer Verlag | 2024
    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

    Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches

    Wang, Chen / Atkison, Travis / Duan, Qiuhua | Springer Verlag | 2024
    Schlagwörter: Deep Learning , Machine Learning

    Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions

    Ali, Azam / Kalatian, Arash / Choudhury, Charisma F. | Elsevier | 2023
    Schlagwörter: Machine learning , Explainable machine learning

    A data-driven decision support system for service completion prediction in last mile logistics

    Pegado-Bardayo, Ana / Lorenzo-Espejo, Antonio / Muñuzuri, Jesús et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea

    Choi, Seung Jun / Jiao, Junfeng / Lee, Hye Kyung et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Ineffective built environment interventions: How to reduce driving in American suburbs?

    Tao, Tao / Cao, Jason | Elsevier | 2023
    Schlagwörter: Machine learning

    On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement

    Wallimann, Hannes / Sticher, Silvio | Elsevier | 2023
    Schlagwörter: Machine learning

    Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning

    Zhang, Xiaojian / Zhou, Zhengze / Xu, Yiming et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Examining the non-linear effects of transit accessibility on daily trip duration: A focus on the low-income population

    Tao, Sui / Cheng, Long / He, Sylvia et al. | Elsevier | 2023
    Schlagwörter: Machine-learning

    A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything

    Liu, Sheng / Elangovan, Vivekanandh / Xiang, Weidong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data

    Shah, Nitesh R. / Guo, Jing / Han, Lee D. et al. | Elsevier | 2023
    Schlagwörter: Unsupervised machine learning

    Reshaping China's urban networks and their determinants: High-speed rail vs. air networks

    Yang, Haoran / Du, Delin / Wang, Jiaoe et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis

    Peng, Qiao / Bakkar, Yassine / Wu, Liangpeng et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Exploring nonlinear and collective influences of regional and local built environment characteristics on travel distances by mode

    Tao, Tao / Cao, Jason | Elsevier | 2023
    Schlagwörter: Machine learning

    Joint associations of environmental and sociodemographic attributes with active and sedentary travel

    Chandrabose, Manoj / Rahim Mohammad Forkan, Abdur / Abe, Takumi et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Exploring user satisfaction and improvement priorities in electric vehicle segments

    Zhao, Danting / Gao, Jie / Liu, Nieyangzi | Elsevier | 2023
    Schlagwörter: Machine learning

    An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning

    Lv, Huitao / Li, Haojie / Chen, Yanlu et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Forecasting container freight rates using the Prophet forecasting method

    Saeed, Naima / Nguyen, Su / Cullinane, Kevin et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Analysis of links between dockless bikeshare and metro trips in Beijing

    Zhan, Zilin / Guo, Yuanyuan / Noland, Robert B. et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference

    Cai, Yunhao / Jing, Peng / Wang, Baihui et al. | Elsevier | 2023
    Schlagwörter: Double machine learning

    Examining nonlinearity in population inflow estimation using big data: An empirical comparison of explainable machine learning models

    Hu, Songhua / Xiong, Chenfeng / Chen, Peng et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility

    Gao, Kun / Yang, Ying / Gil, Jorge et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents

    Liao, Xishun / Wu, Guoyuan / Yang, Lan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Analysis and estimation of energy consumption of electric buses using real-world data

    Zhang, Zhaosheng / Ye, Baolin / Wang, Shuai et al. | Elsevier | 2023
    Schlagwörter: Machine learning

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