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1–50 von 204 Ergebnissen
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    A behavioral analysis of freight mode choice decisions

    Samimi, Amir / Kawamura, Kazuya / Mohammadian, Abolfazl | Taylor & Francis Verlag | 2011
    Schlagwörter: machine learning

    A bibliometric analysis and review on reinforcement learning for transportation applications

    Li, Can / Bai, Lei / Yao, Lina et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    Active learning metamodelling for survival rate analysis of simulated emergency medical systems

    Antunes, Francisco / Amorim, Marco / Pereira, Francisco et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Active learning

    A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow

    Parsa, Amir Bahador / Shabanpour, Ramin / Mohammadian, Abolfazl (Kouros) et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    A data-driven lane-changing behavior detection system based on sequence learning

    Gao, Jun / Murphey, Yi Lu / Yi, Jiangang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: sequence learning

    A data-driven method for flight time estimation based on air traffic pattern identification and prediction

    Yang, Chunwei / Zhang, Junfeng / Gui, Xuhao et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A deep learning traffic flow prediction framework based on multi-channel graph convolution

    Zhao, Yuanmeng / Cao, Jie / Zhang, Hong et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Agent-based modeling of cognitive learning of dynamic activity-travel patterns

    Cenani, Sehnaz / Arentze, Theo A / Timmermans, Harry J P | Taylor & Francis Verlag | 2013
    Schlagwörter: Cognitive learning

    A human-centric machine learning based personalized route choice prediction in navigation systems

    Sun, Bingrong / Gong, Lin / Shim, Jisup et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Alighting stop determination using two-step algorithms in bus transit systems

    Yan, Fenfan / Yang, Chao / Ukkusuri, Satish V. | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    A machine learning-based method for simulation of ship speed profile in a complex ice field

    Freier Zugriff
    Milaković, Aleksandar-Saša / Li, Fang / Marouf, Mohamed et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    A machine learning based optimisation method to evaluate the crushing behaviours of square tubes with rectangular-hole-type initiators

    Liang, Rui / Xu, Fengxiang / Liu, Na et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Machine learning

    A machine learning method for the evaluation of hydrodynamic performance of floating breakwaters in waves

    Freier Zugriff
    Saghi, Hassan / Mikkola, Tommi / Hirdaris, Spyros | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    A multi-agent learning approach for online calibration and consistency checking of real-time traffic network management systems

    Hashemi, Hossein / Abdelghany, Khaled F. / Abdelghany, Ahmed F. | Taylor & Francis Verlag | 2017
    Schlagwörter: multi-agent 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

    Analyzing travel behavior in Hanoi using Support Vector Machine

    Truong, Thi My Thanh / Ly, Hai-Bang / Lee, Dongwoo et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine Learning

    An automated GPS-based prompted recall survey with learning algorithms

    Auld, Joshua / Williams, Chad / Mohammadian, Abolfazl et al. | Taylor & Francis Verlag | 2009
    Schlagwörter: Learning Algorithms

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    An autonomous location prediction model for maritime transport applications: a case study of Persian Gulf

    Khalilabadi, Mohammad Reza | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    An evacuation guidance model for pedestrians with limited vision

    Han, Yanbin / Liu, Hong / Li, Liang | Taylor & Francis Verlag | 2023
    Schlagwörter: reinforcement learning

    An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption

    Bas, Javier / Zou, Zhenpeng / Cirillo, Cinzia | Taylor & Francis Verlag | 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

    An iterative learning approach for anticipatory traffic signal control on urban networks

    Huang, Wei / Viti, Francesco / Tampère, Chris M.J. | Taylor & Francis Verlag | 2017
    Schlagwörter: iterative learning

    A novel algorithm for ship characteristic points extraction based on density clustering

    Li, Weifeng / Zhang, Haoda / Shi, Guoyou et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems

    Freier Zugriff
    Velasco-Gallego, Christian / Lazakis, Iraklis | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning models

    A population-based incremental learning algorithm to identify optimal location of left-turn restrictions in urban grid networks

    Bayrak, Murat / Yu, Zhengyao / Gayah, Vikash V. | Taylor & Francis Verlag | 2023
    Schlagwörter: population-based incremental learning

    Application of machine learning algorithms in lane-changing model for intelligent vehicles exiting to off-ramp

    Dong, Changyin / Wang, Hao / Li, Ye et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Application of machine learning with a surrogate model to explore seniors’ daily activity patterns

    Deng, Yiling | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Application of Macro Element Method (MEM) for faster automotive crash safety design during concept stage

    Narayana, Peddi Sai Rama / Prakash, Raghu V. / Gunti, Srinivas et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems

    Mahdavi-Meymand, Amin / Zounemat-Kermani, Mohammad | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Applications of machine learning methods in traffic crash severity modelling: current status and future directions

    Wen, Xiao / Xie, Yuanchang / Jiang, Liming et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    A residential location search model based on the reasons for moving out

    Orvin, Muntahith Mehadil / Fatmi, Mahmudur Rahman | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Arterial corridor travel time prediction under non-recurring conditions

    Shafiei, Sajjad / Wang, Eileen / Grzybowska, Hanna et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Artificial intelligence for traffic signal control based solely on video images

    Jeon, Hyunjeong / Lee, Jincheol / Sohn, Keemin | Taylor & Francis Verlag | 2018
    Schlagwörter: deep learning , reinforcement learning (RL)

    A self-learning system for local ramp metering with queue management

    Lu, Chao / Huang, Jie | Taylor & Francis Verlag | 2017
    Schlagwörter: reinforcement learning

    Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data

    Basso, Franco / Cifuentes, Álvaro / Cuevas-Pavincich, Francisca et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Interpretable 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

    Asynchronous n-step Q-learning adaptive traffic signal control

    Genders, Wade / Razavi, Saiedeh | Taylor & Francis Verlag | 2019
    Schlagwörter: reinforcement learning

    A unified framework of proactive self-learning dynamic pricing for high-occupancy/toll lanes

    Lou, Yingyan | Taylor & Francis Verlag | 2013
    Schlagwörter: self-learning

    Automatic clustering-based approach for train wheels condition monitoring

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    Bayesian and machine learning-based fault detection and diagnostics for marine applications

    Freier Zugriff
    Cheliotis, Michail / Lazakis, Iraklis / Cheliotis, Angelos | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

    Freier Zugriff
    Munim, Ziaul Haque / Dushenko, Mariia / Jimenez, Veronica Jaramillo et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    Calibrating microscopic traffic simulators using machine learning and particle swarm optimization

    Liu, Yanchen / Zou, Bo / Ni, Anning et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Causal structure learning for travel mode choice using structural restrictions and model averaging algorithm

    Freier Zugriff
    Ma, Tai-Yu / Chow, Joseph Y. J. / Xu, Jia | Taylor & Francis Verlag | 2017
    Schlagwörter: structure learning algorithm

    Characterizing parking systems from sensor data through a data-driven approach

    Arjona Martinez, Jamie / Linares, Maria Paz / Casanovas, Josep | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Collaborative Stakeholder Dialogue: A Catalyst for Better Transport Policy Choices

    Baumann, Christiane / White, Stuart | Taylor & Francis Verlag | 2015
    Schlagwörter: learning