Vehicle-crowd (V-crowd) based cloudlets are envisioned to support high-demand mobile edge computing applications. Yet, a v-crowd's capability to host cloudlet applications is significantly affected by the sustainability of itself. Among the factors that may contribute to the capability and sustaining the v-crowd, traffic signal coordination plays an important role. In this paper, we study the interdependence between them through an empirical approach. We'll define new metrics to quantify the impact, and use data driven simulation to obtain results by manipulating signals offset as a control knob of traffic signal coordination. The goal is to use the results in terms of the metrics to develop guidelines that offer choices of offsets preferable for certain levels of v-crowd properties so as to achieve better performance of cloudlet applications.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sustain Vehicle-Crowds via Traffic Signal Adjustments


    Contributors:


    Publication date :

    2018-08-01


    Size :

    1059625 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Combination roads to sustain traffic weight

    Pierce, D.T. | Engineering Index Backfile | 1917



    Two-Time-Scale Hybrid Traffic Models for Pedestrian Crowds

    Wang, Qianling / Dong, Hairong / Ning, Bin et al. | IEEE | 2018


    AUTOMATED VEHICLE CONTROL STRATEGY FOR PEDESTRIAN CROWDS

    WEI JUNQING / XU WENDA / LEE JONG HO | European Patent Office | 2022

    Free access

    AUTOMATED VEHICLE CONTROL STRATEGY FOR PEDESTRIAN CROWDS

    WEI JUNQING / XU WENDA / LEE JONG HO | European Patent Office | 2022

    Free access