Coasting point optimisation for mass rail transit lines using artificial neural networks and genetic algorithms-Reference-Cited by-同舟云学术

Coasting point optimisation for mass rail transit lines using artificial neural networks and genetic algorithms

Published:2008-05-01 Issue:3 Volume:2 Page:172-182
ISSN:1751-8660
Container-title:IET Electric Power Applications
language:en
Short-container-title:

Author:

Açıkbaş S.,Söylemez M.T.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-epa_20070381?crawler=true&mimetype=application/pdf

Reference17 articles.

1. Açikbaş, S., and Söylemez, M.T.: ‘Energy loss comparison between 750 VDC and 1500 VDC power supply systems using rail power simulation’, Computers in Railways IX(WIT Press 2004), p. 951–960ISBN:1-85312-715-9

2. İstanbul Ulasim Internal Report: ‘Aksaray – Havalimanı Hafif Metro Hattı istasyon giriş ve çıkışlarındaki hız sınırının ve araç maksimum ivme değerinin arttırılmasının etkileri (Effects of increasing vehicle acceleration rates and station entrance speed limits in Aksaray–Havalimanı Metro line)’, 2006 (in Turkish)

3. Optimising train movements through coast control using genetic algorithms

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