Abstract
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 language | English |
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Pages (from-to) | 3156-3167 |
Number of pages | 12 |
Journal | IEEE Transactions on Intelligent Transportation Systems |
Volume | 20 |
Issue number | 8 |
Early online date | 24 Oct 2018 |
DOIs | |
Publication status | Published - 1 Aug 2019 |
Keywords
- Communication-based train control (CBTC)
- AP deployment planning
- multiobjective optimisation and integrated simulation platform