The Hubei Provincial Building Technology Project in 2021(No.43)

作     者：Fei Wang 

作者机构：Southwest Jiaotong University Hope CollegeChengdu 610400Sichuan ProvinceChina 

出 版 物：《Journal of World Architecture》 (世界建筑（百图）)

年 卷 期：2022年第6卷第4期

页      面：61-75页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Train speed profile Energy saving MATLAB Brute force Genetic algorithm 

摘      要：This study aims to optimize energy consumption by modifying the train’s maximal speed and coasting *** methods used in the simulation are brute force and genetic algorithm(GA).The introduction briefly introduces the aim and objectives of the study,as well as the scope and the *** following section gives an overview of the current rail transit development and the existing *** the rapid development of rail transit and its successful operation,energy consumption is a major *** methodology of brute force and genetic algorithm is then *** exact algorithm of the two methods in MATLAB is explained so as to make preparations for the latter simulation *** results from the brute force and genetic algorithm methods are obtained and compared for data *** driving strategy for using STS(Single Train Simulator)is then optimized for an advanced *** inserting more values in the code,an optimal speed profile is obtained,and the energy saving target is ***,the energy consumption of the studied line could be decreased by optimizing the maximal speed of different sections between the stations and the coasting ***,influencing factors such as service and infrastructure,application of acceleration,and braking power should also be considered as improvements in future studies.