Train trajectory optimization in the presence ofexternal factors: The example of wind
Open access
Date
2019-09Type
- Conference Paper
ETH Bibliography
yes
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Abstract
The train trajectory optimization problem consists in determining the speed profile of a train between two stations that minimizes energy consumption while respecting the scheduled arrival time and operational constraints such as speed limits. The problem is well-known in the literature but has so far been studied without accounting for external factors as weather conditions or train load that in reality vary in each journey. These factors have an impact on the train resistance, which in turn can affect energy consumption. In this paper, we focus on wind uncertainty and propose a novel train resistance equation that accounts for the impact of wind intensity and direction. For different wind conditions, we determine optimal trajectories as dynamic programs defined on a space-speed network that embeds the physical train motion relations updated with the actual wind information. Numerical experiments show that our “wind-aware” train trajectories are more energy-efficient than traditional solutions computed independent of wind information. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000368788Publication status
publishedPublisher
ETH ZurichEvent
Organisational unit
09611 - Corman, Francesco / Corman, Francesco
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Related publications and datasets
Is Documented by: http://hdl.handle.net/20.500.11850/372182
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ETH Bibliography
yes
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