1–20 von 34 Ergebnissen
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    Big Data and Emerging Transportation Challenges: Findings from the NOESIS project

    Katrakazas, Christos / Antoniou, Constantinos / Vazquez, Natalia Sobrino et al. | IEEE | 2019
    In the last years many Big Data technologies have been applied to the transportation sector all over the world. Despite existing and future ...
    Verlag: IEEE

    Robust Two-Stage Transport Data Imputation with Changepoint Detection and Tucker Decomposition

    Lyu, Cheng / Lu, Qing-Long / Wu, Xinhua et al. | IEEE | 2023
    Transport data is an essential resource for understanding traffic patterns and informing transport planning and policy. However, data ...
    Verlag: IEEE

    Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems

    Zhang, Haizheng / Seshadri, Ravi / Prakash, A. Arun et al. | IEEE | 2018
    A key component of Dynamic Traffic Assignment (DTA) systems is the online calibration of simulation parameters, which is crucial in ...
    Verlag: IEEE

    Crash risk analysis for the mixed traffic flow with human-driven and connected and autonomous vehicles

    Lu, Qing-Long / Yang, Kui / Antoniou, Constantinos | IEEE | 2021
    Verlag: IEEE

    Simulation-based Optimization of Autonomous Driving Behaviors

    Sadid, Hashmatullah / Qurashi, Moeid / Antoniou, Constantinos | IEEE | 2022
    Verlag: IEEE

    Utilizing Import Vector Machines to Identify Dangerous Pro-active Traffic Conditions

    Yang, Kui / Zhao, Wenjing / Antoniou, Constantinos | IEEE | 2020
    Verlag: IEEE

    An Investigation of SPSA for Signal Timing Optimization at Isolated Intersections

    Hale, David / Antoniou, Constantinos / Park, Byungkyu Brian et al. | IEEE | 2015
    Verlag: IEEE

    An efficient non-linear Kalman filtering algorithm using simultaneous perturbation and applications in traffic estimation and prediction

    Antoniou, Constantinos / Koutsopoulos, Haris N. / Yannis, George | IEEE | 2007
    Verlag: IEEE

    DynaMIT2.0: Architecture Design and Preliminary Results on Real-Time Data Fusion for Traffic Prediction and Crisis Management

    Lu, Yang / Seshadri, Ravi / Pereira, Francisco et al. | IEEE | 2015
    The ability to monitor and predict in real-time the state of the transportation network is a valuable tool for both transportation ...
    Verlag: IEEE

    Monitoring Social Networks Formation and Information Velocity for Cases of Airliners' Crashes

    Dimitriou, Loukas / Antoniou, Constantinos / Christodoulou, Symeon | IEEE | 2015
    Verlag: IEEE

    Use of Geotagged Social Media in Urban Settings: Empirical Evidence on Its Potential from Twitter

    Chaniotakis, Emmanouil / Antoniou, Constantinos | IEEE | 2015
    Social media can be valuable in transportation research, as data collected contain information for mobility patterns and behavioural ...
    Verlag: IEEE

    Parameters Affecting Professional Driver Response to VMS Messages

    Poulopoulou, Maria / Spyropoulou, Ioanna / Antoniou, Constantinos | IEEE | 2015
    Verlag: IEEE

    Flexible car-following models incorporating information from adjacent lanes

    Papathanasopoulou, Vasileia / Antoniou, Constantinos | IEEE | 2016
    In recent years, technological advances have significantly improved Driver Assistance Systems and there has been an increasing interest in ...
    Verlag: IEEE

    Can Social Media data augment travel demand survey data?

    Chaniotakis, Emmanouil / Antoniou, Constantinos / Grau, Josep Maria Salanova et al. | IEEE | 2016
    Verlag: IEEE

    Sensitivity analysis of driver behavior under emergency conditions

    Prionisti, Elena / Antoniou, Constantinos | IEEE | 2012
    Verlag: IEEE

    Long-term & short-term bike sharing demand predictions using contextual data

    Tabandeh, Mirfarnam / Antoniou, Constantinos / Cantelmo, Guido | IEEE | 2023
    Bike Sharing Systems (BSSs) have gained popularity in the last two decades, becoming an integrated part of our mobility ecosystem. One of ...
    Verlag: IEEE

    Network-wide Traffic State Forecast Using Discrete Wavelet Transform and Deep Learning

    Zada, Mohammad Javad Hassan / Yamnenko, Iuliia / Antoniou, Constantinos | IEEE | 2023
    Traffic state prediction models are a crucial element with many applications in intelligent transportation systems. Short-term network-wide ...
    Verlag: IEEE

    Network Traffic Dynamics Prediction with a Hybrid Approach: Autoencoder-VAR

    Gong, Xiaolin / Ma, Tao / Antoniou, Constantinos | IEEE | 2021
    Verlag: IEEE

    Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem

    Ceccarelli, Giovanni / Cantelmo, Guido / Nigro, Marialisa et al. | IEEE | 2021
    Verlag: IEEE

    Measuring crowding levels using circle packing method: Application at Hawaii’s beaches

    Hung, Arthur / Sadrani, Mohammad / Antoniou, Constantinos | IEEE | 2023
    Measurements of human crowding (occupancy) levels at various locations are crucial for transport planning research. Since information about ...
    Verlag: IEEE