Abstract
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.
| Original language | English |
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| Title of host publication | 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538675281 |
| DOIs | |
| Publication status | Published - 2 Jul 2018 |
| Event | 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018 - Singapore, Singapore Duration: 12 Dec 2018 → 14 Dec 2018 |
Publication series
| Name | 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018 |
|---|
Conference
| Conference | 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 12/12/18 → 14/12/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- FBS
- GWP
- MILP
- Speed profile optimization
- delay
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