Taxi demand prediction has lately piqued academic attention due to its vast potential for use in expansive intelligent transportation systems. On the other hand, the majority of earlier methods merely took into account forecasting taxi demand in origin locations, omitting to simulate the particular circumstances of customers traveling to a destination. This research study presume that it is inefficient to pre-allocate taxis to each location based just on origin demand. This research study offers a significant and fascinating challenge in this work termed taxi origin-destination demand prediction, which tries to estimate future taxi demand between all area pairings. Its main challenges are figuring out how efficiently a variety of contextual data are gathered in order to understand demand trends. In this study, origin and destination views were among the classification tasks where a unique Deep Neural Network (DNN) with Deep learning-based models outperform conventional machine learning techniques. Comprehensive testing and analysis on a large dataset clearly demonstrate that, for forecasting taxi origin-destination demand, our DNN beats other evaluated approaches.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Perception Sensors Based Fusion System and Method for Controlling Vehicle


    Beteiligte:
    Hasan, Dler Salih (Autor:in) / D, Srinivasan (Autor:in) / Aswal, Upendra Singh (Autor:in) / Kumar, Yogendra (Autor:in) / Rao, Aln (Autor:in) / Singh, Yograj (Autor:in)


    Erscheinungsdatum :

    01.06.2023


    Format / Umfang :

    259905 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Perception fusion system, vehicle and control method

    ZHANG DINGPING / LIAO ZHIQIANG / LI YAN | Europäisches Patentamt | 2023

    Freier Zugriff

    Methods and system for controlling a vehicle using fusion of multi_modality perception data

    ALURU SAI VISHNU / LINDENTHAL STEFFEN PETER / YOUSIF-DICKOW BRIAN et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    METHODS AND SYSTEM FOR CONTROLLING A VEHICLE USING FUSION OF MULTI_MODALITY PERCEPTION DATA

    ALURU SAI VISHNU / LINDENTHAL STEFFEN PETER / YOUSIF-DICKOW BRIAN et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Vehicle infrastructure collaborative perception fusion method and system

    ZHAO YIMING / MA ZE / KUMAKICHI et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    ADAPTIVE PERCEPTION BY VEHICLE SENSORS

    LU JIANBO / FELDKAMP TIMOTHY MARK / HONG SANGHYUN et al. | Europäisches Patentamt | 2022

    Freier Zugriff