A Practical Access Point Deployment Optimization Strategy In Communication-based Train Control Systems

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Communication-based train control (CBTC) systems have been playing a progressively significant role in metro signalling in recent years. As safety-critical systems, CBTC systems have very strict requirements on the wireless communication performance between train and wayside access points (AP), which is highly dependent on the deployment of the APs. In this paper, by customizing and adopting a decomposition based multiobjective evolutionary algorithm, the proposed AP deployment optimization method has been implemented, verified and its implementation accuracy has been assessed. A real-world case study is carried out in an integrated simulation platform, in which the optimized AP deployments are verified and show better performance than the original planning.


Original languageEnglish
Pages (from-to)3156-3167
Number of pages12
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number8
Early online date24 Oct 2018
Publication statusPublished - 1 Aug 2019


  • Communication-based train control (CBTC), AP deployment planning, multiobjective optimisation and integrated simulation platform