Object-Oriented Modeling of the Variation of Acceleration and Deceleration Characteristics in Relation to Speed Bands for Railway Vehicles  

作　　者：Hyun-Soo Jeong Jong-Young Park Hanmin Lee Hyun-Soo Jeong;Jong-Young Park;Hanmin Lee(Hyubwoojiyeu Engineering Co., Ltd., Seoul, Korea;Smart Electrical & Signaling Division, Korea Railroad Research Institute, Uiwang, Korea)

机构地区：[1]Hyubwoojiyeu Engineering Co., Ltd., Seoul, Korea [2]Smart Electrical & Signaling Division, Korea Railroad Research Institute, Uiwang, Korea

出　　处：《Energy and Power Engineering》2023年第8期277-290,共14页能源与动力工程（英文）

摘　　要：Automated operation and artificial intelligence technology have become essential for ensuring the safety, efficiency, and punctuality of railways, with applications such as ATO (Automatic Train Operation). In this study, the authors propose a method to efficiently simulate the kinematic characteristics of railroad vehicles depending on their speed zone. They utilized the function overloading function supported by a programming language and applied the fourth-order Lunge-Kutta method for dynamic simulation. By constructing an object model, the authors calculated vehicle characteristics and TPS and compared them with actual values, verifying that the developed model represents the real-life vehicle characteristics accurately. The study highlights potential improvements in automated driving and energy consumption optimization in the railway industry.Automated operation and artificial intelligence technology have become essential for ensuring the safety, efficiency, and punctuality of railways, with applications such as ATO (Automatic Train Operation). In this study, the authors propose a method to efficiently simulate the kinematic characteristics of railroad vehicles depending on their speed zone. They utilized the function overloading function supported by a programming language and applied the fourth-order Lunge-Kutta method for dynamic simulation. By constructing an object model, the authors calculated vehicle characteristics and TPS and compared them with actual values, verifying that the developed model represents the real-life vehicle characteristics accurately. The study highlights potential improvements in automated driving and energy consumption optimization in the railway industry.

关 键 词：Railway Vehicle ATO Lunge-Kutta Method Object-Oriented Model Function Overloading 

分 类 号：O17[理学—数学]