Traffic modeling of large-scale urban networks is a challenging task. In the literature, the network is mainly assumed to be homogeneous. However, in a large-scale scenario, it is unlikely that the traffic network characteristics—such as speed limit, number of lanes, or the network geometry–remain constant throughout the network. Therefore, we introduce a two dimensional macroscopic model for large-scale traffic networks where the fundamental diagram is space-dependent and varies with respect to the area considered. We simulate our model and compare the results with those obtained by microsimulation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    2D-LWR in large-scale network with space dependent fundamental diagram




    Publication date :

    2018-11-01


    Size :

    1216049 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networks

    Saffari, Elham / Yildirimoglu, Mehmet / Hickman, Mark | Elsevier | 2022



    Impact of large-scale activities on macroscopic fundamental diagram: Field data analysis and modeling

    Niu, Xiao-Jing / Zhao, Xiao-Mei / Xie, Dong-Fan et al. | Elsevier | 2022



    Influence of Road Layout on Network Fundamental Diagram

    Knoop, Victor L. / de Jong, David / Hoogendoom, Serge P. | Transportation Research Record | 2014