TY - GEN
T1 - Integrated Train Speed Profiles optimization Considering Signaling System and Delay
AU - Wu, Chaoxian
AU - Lu, Shaofeng
AU - Xue, Fei
AU - Jiang, Lin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Many researches for optimizing the railway operation have been conducted in the past decades. Train speed profile optimization and train schedule optimization are two main components in this field while at most of times they are investigated separately but not integrated. In this paper, we propose an integrated optimization approach based on mixed integer linear programming (MILP) to optimize the train speed profiles for minimizing the total energy consumption of two adjacent trains running on the same section between two stations, in which the fixed block signaling systems (FBS) and train delay are taken into account. The green wave policy (GWP) is considered in the paper to help plan the train speed profiles. A real-world case based on one specific section of Metropolitan Line in London Underground is studied using the proposed model in the paper, the performance of which shows the cross interaction among the train motion, signaling system and schedule and the results also present the effectiveness of the approach.
AB - Many researches for optimizing the railway operation have been conducted in the past decades. Train speed profile optimization and train schedule optimization are two main components in this field while at most of times they are investigated separately but not integrated. In this paper, we propose an integrated optimization approach based on mixed integer linear programming (MILP) to optimize the train speed profiles for minimizing the total energy consumption of two adjacent trains running on the same section between two stations, in which the fixed block signaling systems (FBS) and train delay are taken into account. The green wave policy (GWP) is considered in the paper to help plan the train speed profiles. A real-world case based on one specific section of Metropolitan Line in London Underground is studied using the proposed model in the paper, the performance of which shows the cross interaction among the train motion, signaling system and schedule and the results also present the effectiveness of the approach.
KW - FBS
KW - GWP
KW - MILP
KW - Speed profile optimization
KW - delay
UR - http://www.scopus.com/inward/record.url?scp=85063074827&partnerID=8YFLogxK
U2 - 10.1109/ICIRT.2018.8641566
DO - 10.1109/ICIRT.2018.8641566
M3 - Conference Proceeding
AN - SCOPUS:85063074827
T3 - 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018
BT - 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018
Y2 - 12 December 2018 through 14 December 2018
ER -