Train Performance Analysis for Korean High Speed Train and Development of Economical Run Model

초록

For the analysis of train performance, it is necessary to review the characteristics of railway vehicle, infrastructure, power supply system and train operation conditions, running pattern. Many factors of railway system, such as traction effort, braking effort, running resistance, train length effect, train operation schedule, running pattern and power supply system, have an influence on the train performance. The optimization has been performed to search an economical running pattern in the view point of trip time and energy consumption. Fuzzy control model have been applied to build the meta-model. To identify the structure and its parameters of a fuzzy model, fuzzy c-means clustering method and differential evolutionary scheme are utilized, respectively. As a result, two meta-models for trip time and energy consumption were constructed. The optimization to search an economical running pattern was achieved by differential evolutionary scheme. The result shows that the proposed methodology is very efficient and conveniently applicable to the operation of railway system. As a conclusion, this paper presents a novel approach to analyze the train performance and an efficient method to run economically using the fuzzy model and the differential evolutionary optimization.