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1–50 von 271 Ergebnissen
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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

    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

    Applying a Bayesian network for modelling the shift from motorcycle to public transport use in Vietnam

    Nguyen, Son-Tung / Moeinaddini, Mehdi / Saadi, Ismaïl et al. | Elsevier | 2024
    Schlagwörter: Network-learning

    Travel behavior and system dynamics in a simple gamified automated multimodal network

    Collins, Mor / Etzioni, Shelly / Ben-Elia, Eran | Elsevier | 2024
    Schlagwörter: Reinforced Learning

    Expressway Traffic Incident Detection Using a Deep Learning Approach Based on Spatiotemporal Features with Multilevel Fusion

    Qu, Qikai / Shen, Yongjun / Yang, Miaomiao et al. | ASCE | 2024
    Schlagwörter: Deep learning

    Investigating pedestrian crash patterns at high-speed intersection and road segments: Findings from the unsupervised learning algorithm

    Freier Zugriff
    Ahmed Hossain / Xiaoduan Sun / Niaz Mahmud Zafri et al. | DOAJ | 2024
    Schlagwörter: Unsupervised 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

    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

    DeepAD: An integrated decision-making framework for intelligent autonomous driving

    Shi, Yunyang / Liu, Jinghan / Liu, Chengqi et al. | Elsevier | 2024
    Schlagwörter: Deep reinforcement 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

    Real-Time Optimization of Urban Rail Transit Train Scheduling via Advantage Actor–Critic Deep Reinforcement Learning

    Wen, Longhui / Zhou, Wei / Liu, Jiajun et al. | ASCE | 2024
    Schlagwörter: Deep reinforcement learning

    Urban network geofencing with dynamic speed limit policy via deep reinforcement learning

    Lu, Wenqi / Yi, Ziwei / Gidofalvi, Gyözö et al. | Elsevier | 2024
    Schlagwörter: Reinforcement learning technology

    A state-of-the-art survey of deep learning models for automated pavement crack segmentation

    Freier Zugriff
    Hongren Gong / Liming Liu / Haimei Liang et al. | DOAJ | 2024
    Schlagwörter: Deep learning

    Unsupervised Approach to Investigate Urban Traffic Crashes Based on Crash Unit, Crash Severity, and Manner of Collision

    Maniei, Farzin / Mattingly, Stephen P. | ASCE | 2024
    Schlagwörter: Unsupervised learning

    Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections

    Freier Zugriff
    Mohammed Moinuddin / Logan Proffer / Matthew Vechione et al. | DOAJ | 2024
    Schlagwörter: Applied Machine Learning

    Identification of optimal locations of adaptive traffic signal control using heuristic methods

    Freier Zugriff
    Tanveer Ahmed / Hao Liu / Vikash V. Gayah | DOAJ | 2024
    Schlagwörter: Population based incremental learning

    An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

    Freier Zugriff
    Miaojia Lu / Xinyu Yan / Shadi Sharif Azadeh et al. | DOAJ | 2024
    Schlagwörter: Deep reinforcement learning

    Unveiling the influential factors for customized bus service reopening from naturalistic observations in Shanghai

    Freier Zugriff
    Yu Shen / Chenlong Xu / Shengchuan Jiang et al. | DOAJ | 2024
    Schlagwörter: Explainable 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

    Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications

    Park, Soyeon / Kim, Sunjoong | Springer Verlag | 2024
    Schlagwörter: Deep Learning

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

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

    Effectiveness of an Immersive VR System for Construction Site Planning Education

    Wang, Kun-Chi / Hsu, Liang-Yu | Springer Verlag | 2024
    Schlagwörter: Learning effect evaluation

    Crack Detection of the Urban Underground Utility Tunnel Based on Residual Feature Pyramid Attention Network

    Zhou, Yuan / Li, Chengwei / Wang, Shoubin et al. | Springer Verlag | 2024
    Schlagwörter: Residual learning

    Sequential Prediction of the TBM Tunnelling Attitude Based on Long-Short Term Memory with Mechanical Movement Principle

    Wang, Ruirui / Xiao, Yuhang / Guo, Qian et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Autoras inglesas publicadas durante el Franquismo. Jane Austen, Mary Shelley, Charlotte Brontë, George Eliot y Anne Brontë

    Freier Zugriff
    Caterina Riba / Carme Sanmartí | DOAJ | 2024
    Schlagwörter: History of scholarship and learning. The humanities

    Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

    Assi, Khaled / Ratrout, Nedal / Nemer, Ibrahim et al. | ASCE | 2023
    Schlagwörter: Machine learning , Deep 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

    The impacts of visual street environments on obesity: The mediating role of walking behaviors

    Kim, Ji-Il / Yu, Chia-Yuan / Woo, Ayoung | Elsevier | 2023
    Schlagwörter: Deep learning

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

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

    Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification

    Yu, Young Su / Kim, Si Hyun / Lee, Won Bok et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble 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

    An interpretable machine learning framework to understand bikeshare demand before and during the COVID-19 pandemic in New York City

    Uddin, Majbah / Hwang, Ho-Ling / Hasnine, Md Sami | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

    Freier Zugriff
    Rawson, Andrew / Brito, Mario | Taylor & Francis Verlag | 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

    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 , Supervised 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

    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

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Schlagwörter: deep-learning