Chen, Lei

Constantinou, Costas

Li, Zhu

Roberts, Clive

Wen, Tao

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

University of Birmingham Research Portal

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

English

http://pure-oai.bham.ac.uk/ws/files/54224063/paper.pdf

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

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University of Birmingham Research Portal

University of Birmingham Research Portal