2015
DOI: 10.1541/ieejias.135.563
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Speed Profile Generator for Energy Estimation of a Train Running Simulator

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Cited by 6 publications
(4 citation statements)
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“…This effort was aimed at improving a simulation system to repro- duce real train operations more realistically. This included speed profile generation to estimate energy applied to calculate speed profiles with a specified running time [10] which was incorporated into the simulator. Other improvements were made to the simulator to be able to make calculations using commercial train timetables on a wide range of lines.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…This effort was aimed at improving a simulation system to repro- duce real train operations more realistically. This included speed profile generation to estimate energy applied to calculate speed profiles with a specified running time [10] which was incorporated into the simulator. Other improvements were made to the simulator to be able to make calculations using commercial train timetables on a wide range of lines.…”
Section: Resultsmentioning
confidence: 99%
“…First, the running time between stations was set using historical running time data obtained from train data collection devices [9]. Next, speed profiles were calculated using these running times and applying the function for producing speed profiles used for estimating energy consumption [10], "Hybrid-Speedy" . Then, the speed profile data was then used to indicate a driving pattern, while taking into practical application of such driving patterns into account.…”
Section: Fig 4 Train Diagram Of the Test Run (Two Train Sets) [7]mentioning
confidence: 99%
“…A variety of methods are used for speed profile optimization . Such methods can be divided into those that improve predefined basic patterns, and those deriving speed profiles arbitrarily, based on the principle of optimality or another concept.…”
Section: Introductionmentioning
confidence: 99%
“…A variety of methods are used for speed profile optimization. 8,[11][12][13] Such methods can be divided into those that improve predefined basic patterns, and those deriving speed profiles arbitrarily, based on the principle of optimality or another concept. The former methods feature relatively simple calculation, but their drawback is that global search proves difficult.…”
Section: Introductionmentioning
confidence: 99%