MURAL - Maynooth University Research Archive Library



    A Distributed and Privacy-Aware Speed Advisory System for Optimising Conventional and Electric Vehicles Networks


    Liu, Mingming and Ordonez-Hurtado, Rodrigo H. and Wirth, Fabian and Gu, Yingqi and Crisostomi, Emanuele and Shorten, Robert N. (2015) A Distributed and Privacy-Aware Speed Advisory System for Optimising Conventional and Electric Vehicles Networks. Working Paper. arXiv.

    [img]
    Preview
    Download (2MB) | Preview
    Official URL: arXiv:1506.01436


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    One of the key ideas to make Intelligent Transportation Systems (ITS) work effectively is to deploy advanced communication and cooperative control technologies among the vehicles and road infrastructures. In this spirit, we propose a consensus based distributed speed advisory system that optimally determines a recommended common speed for a given area in order that the group emissions, or group battery consumptions, are minimised. Our algorithms achieve this in a privacy-aware manner; namely, individual vehicles do not reveal in-vehicle information to other vehicles or to infrastructure. Mathematical proofs are given to prove the convergence of the algorithm, SUMO simulations are given to illustrate the efficacy of the algorithm, and hardware-in-the-loop tests involving real vehicles are given to illustrate user acceptability and ease of the deployment.

    Item Type: Monograph (Working Paper)
    Keywords: SUMO; Distributed algorithms; Optimisation;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 6321
    Depositing User: Dr. Robert Shorten
    Date Deposited: 02 Sep 2015 15:56
    Publisher: arXiv
    URI:
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

      Repository Staff Only(login required)

      View Item Item control page

      Downloads

      Downloads per month over past year

      Origin of downloads