Title :
Research on subway trains´ energy conservation running based on PSO
Author :
Wenbin Hu ; Qisheng Sun ; JianGuo Lv
Author_Institution :
Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
Railway transit service is now the major transportation means in urban public transit system, fixed section running time is the main merit. Meanwhile, metro takes the most part of energy consumption in urban public transit system. How to improve the energy utilization rate is the technical problem to hinder the development of it. Combined with the actual vehicle line sections of Nanjing Metro Line 2, make use of PSO to optimize vehicle´s operation model with timing-energy conservation strategy, compare with the result of GA, the results demonstrate that PSO meet the request of timed energy conservation optimization.
Keywords :
energy conservation; genetic algorithms; particle swarm optimisation; power consumption; public transport; railways; GA; Nanjing Metro Line 2; PSO; energy consumption; energy utilization rate improvement; genetic algorithms; particle swarm optimisation; railway transit service; subway train energy conservation; timing-energy conservation strategy; urban public transit system; vehicle operation model optimization; Analytical models; Energy conservation; Energy consumption; Genetic algorithms; Optimization; Particle swarm optimization; Rail transportation; PSO; energy conservation; railway transit;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6947887