186. Exploring possibilities of quantum computing for real-time traffic management in railway operations
Invited abstract in session FA-1: Railway Optimization, stream Mobility, Transportation, and Traffic.
Friday, 8:45-10:15Room: Audimax
Authors (first author is the speaker)
| 1. | Alexander Schuler
|
| Chair of Railway Operations, Faculty of Transport and Traffic Sciences, Technische Universität Dresden | |
| 2. | Nikola Bešinović
|
| Chair of Railway Operations, Faculty of Transport and Traffic Sciences, Technical University of Dresden |
Abstract
The demand for rail transport is expected to increase due to higher mobility needs and shifts in transport policy. This will lead to a higher capacity utilization of the existing network and therefore disturbances will become more frequent. To minimize the impact of these disturbances, dispatchers work on real-time traffic management. Their task is to adjust the timetable in order to resolve the resulting conflicts. Since time to find high quality solutions is limited, developing a computer-based optimization method to assist dispatchers has the potential to significantly increase the efficiency of rail transport. In large and dense railway networks this a challenging task with high computational complexity. Quantum computing represents a possible research direction, as it can offer advantages over classical computing due to its unique properties. This paper provides an introduction to the topic, by summarizing the key principles of quantum computing. Furthermore, it aims to identify the challenges and opportunities of using quantum computing for real-time traffic management in railway operations. For this purpose, the paper reviews existing approaches that use quantum computing in railway operations and other related fields. Finally, several further research directions are identified, ranging from detailed benchmarking to the development of new algorithms.
Keywords
- Transportation
- Public Transport
- Mobility
Status: accepted
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