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    Using Digital Footprints for a City-scale Traffic Simulation


    McArdle, Gavin and Furey, Eoghan and Lawlor, Aonghus and Pozdnoukhov, Alexei (2014) Using Digital Footprints for a City-scale Traffic Simulation. ACM Transactions on Intelligent Systems and Technology, 5 (3). ISSN 2157-6904

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    Abstract

    This article introduces a micro-simulation of urban traffic flows within a large scale scenario implemented for the Greater Dublin region in Ireland. Traditionally, the data available for traffic simulations come from a population census and dedicated road surveys which only partly cover shopping, leisure or recreational trips. To account for the latter, the presented traffic modelling framework exploits the digital footprints of city inhabitants on services such as Twitter and Foursquare. We enriched the model with findings from our previous studies on geographical layout of communities in a country-wide mobile phone network to account for socially related journeys. These data-sets were used to calibrate a variant of a radiation model of spatial choice, which we introduced in order to drive individuals' decisions on trip destinations within an assigned daily activity plan. We observed that given the distribution of population, the workplace locations, a comprehensive set of urban facilities and a list of typical activity sequences of city dwellers collected within a national travel survey, the developed micro-simulation reproduces not only the journey statistics such as peak travel periods but also the traffic volumes at main road segments with surprising accuracy.

    Item Type: Article
    Keywords: Urban Analysis; Traffic Simulation; Social Networks;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5516
    Identification Number: https://doi.org/10.1145/2517028
    Depositing User: Dr. Gavin McArdle
    Date Deposited: 28 Oct 2014 11:02
    Journal or Publication Title: ACM Transactions on Intelligent Systems and Technology
    Publisher: ACM
    Refereed: Yes
    Funders: Science Foundation Ireland
    URI:

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