The project team proposes to establish a new theory and open-source tool for modeling both passenger and vehicle flow in a sophisticated transportation network. The model takes input of data collected from various source, and models individual travel activities and behavior on roadway systems, transit systems and parking systems. The multi-modal network model is the key to systematic planning and operations of transportation infrastructure. Planning, operational strategies and policies can be fully examined in the network model in terms of system delays, reliability, vehicle-miles traveled (VMT), fuel consumption and emissions. This research will use real-time and historical roadway, parking and transit data, in both Philadelphia and Pittsburgh Region, to test and validate the network model. This research can ultimately help the regional metropolitan planning organizations (MPOs) and departments of transportation (DOTs) quantitatively analyze and optimize various management strategies for sustainable mobility.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Data-driven Network Models for Analyzing Multi-modal Transportation Systems


    Beteiligte:
    Z. Qian (Autor:in) / X. Pi (Autor:in) / W. Ma (Autor:in)

    Erscheinungsdatum :

    2018


    Format / Umfang :

    8 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





    Multi-modal, multi-period, multi-commodity transportation : models and algorithms

    Jernigan, Nicholas R. (Nicholas Richard) | DSpace@MIT | 2014

    Freier Zugriff

    MULTI-MODAL TRANSPORTATION SYSTEM

    GUIZAR AMADOR LUIS FRANCISCO / MARTINEZ ORDAZ MARIO OSCAR / ROMERO BAILON JULIO ANTONIO et al. | Europäisches Patentamt | 2018

    Freier Zugriff

    Congestion pricing for multi-modal transportation systems

    Hamdouch, Younes | Online Contents | 2007


    Machine Learning Based Multi-Modal Transportation Network Planner

    Menon Manghat, Neeraj / Gopalakrishna, Vaishak / Bonthu, Sai et al. | ASCE | 2024