Title :
Optimization for high-speed train operation considering driving strategies and timetable
Author :
Qu Jianwei ; Sun Pengfei ; Wang Qingyuan ; Feng Xiaoyun
Author_Institution :
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
Abstract :
This paper presents the optimization of high-speed train operation along the high speed line, by means of inter-station train operation optimization and interval running time distribution. First, an optimal model of high-speed train operation is introduced with the consideration of train traction/braking characteristics, line conditions, neutral sections, and speed limits. A numerical algorithm is adopted to establish the relationship between optimal train operation and running time, with the requirement of safety, punctuality, comfort, and energy-efficiency. Then the interval running time is redistributed based on the trade-off between train operation performance and timetable stability by dynamic programming. A case study of CRH3 high-speed train service along Beijing-Shanghai passenger dedicated line is illustrated at the end of the article.
Keywords :
braking; dynamic programming; energy conservation; numerical analysis; railway safety; rapid transit systems; scheduling; traction; Beijing-Shanghai passenger dedicated line; CRH3 high-speed train service; driving strategies; dynamic programming; energy-efficiency; high speed line; high-speed train operation optimization; interstation train operation optimization; interval running time distribution; line conditions; neutral sections; numerical algorithm; optimal high-speed train operation model; speed limits; timetable stability; train braking characteristics; train comfort; train punctuality; train safety; train traction characteristics; Energy consumption; Energy efficiency; Force; Optimization; Rail transportation; Runtime; Safety; Driving Strategies; Dynamic Programming; High-speed Train; Optimal Operation; Timetable;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an