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ECO Driving Patterns Derived from the Analysis of the Problems of the Current Driving Pattern of Electric Multiple Unit in ATO System
Author(s) -
Kyu-Joong Kim,
Keunoh Lee,
Ju-Yong Kim
Publication year - 2013
Publication title -
journal of the korean society of safety
Language(s) - English
Resource type - Journals
eISSN - 2383-9953
pISSN - 1738-3803
DOI - 10.14346/jkosos.2013.28.3.023
Subject(s) - automotive engineering , energy consumption , track (disk drive) , interval (graph theory) , control (management) , point (geometry) , computer science , energy (signal processing) , engineering , simulation , electrical engineering , artificial intelligence , mathematics , mechanical engineering , combinatorics , statistics , geometry
: This study focuses on finding ways to derive train's optimal ECO driving pattern, which can improve the ride quality and reduce driving energy consumption with keeping the time interval between the stations. As research method, we compared difference of currently ope-rating train's ATO and MCS driving patterns, and concentrated upon the things need to consider in simulation in order to improve the existing pattern of ATO driving pattern's issues with securing the train operation safety. Determining driving pattern minimizing energy consumption by controlling powering within speed limit and controlling switching to coasting at appropriate point considering the track conditions for each section, and determining braking control starting time considering ride comfort and precise stopping is considered to be most important. Key Words : automatic train operation system(ATO system), ECO driving pattern, electric multiple unit(EMU), manual control supervi-sion(MCS), variable voltage variable frequency Inverter(VVVF Inverter)

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