Quantum Shuttle: traffic navigation with Quantum computing
Open accessAbstract
The Web Summit conference in Lisbon, Portugal, is one of the biggest technology conferences in Europe, attended by tens of thousands of people every year. The high influx of people into Lisbon causes significant stress on the city's transit services for the duration of the conference. For the Web Summit 2019, Volkswagen AG partnered with the city of Lisbon for a pilot project to provide quantum computing-based traffic optimization. A two-phase solution was implemented: the first phase used data science techniques to analyze the movement of people from previous conferences to build temporary new bus routes throughout the city. The second phase used a custom Android navigation app installed in the buses operated by Carris, powered by a quantum optimization service provided by Volkswagen that connected to live traffic data and a D-Wave quantum processing unit to optimize the buses' routes in real-time. To our knowledge, this is the first commercial application that depends on a quantum processor to perform a critical live task.
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QA has been utilized for traffic optimization within the Web Summit Conference in Lisbon, enabling real-world utility within a classical application.
“QA has also been utilized for traffic optimization within the Web Summit Conference in Lisbon, where it has been shown how QA can be applied within a classical application to enable real-world utility [147].”
From Quantum Combinatorial Optimization in the NISQ Era: A Systematic Mapping Study (2024) · cites this paper as [147]
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References 20 · Cited by 50
- Authors
- Yarkoni, S., Neukart, F., Tagle, E. M. G., Magiera, N., Mehta, B., Hire, K., Narkhede, S., & Hofmann, M.
- Affiliations
- Volkswagen Group (Germany) (DE)
- Volkswagen Group (United States) (US)
- Hexad, Germany
- Volkswagen, Germany
- Venue
- Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software
- Publisher
- ACM
- Published
- 2020-11-13
- Pages
- 22-30
- OpenAlex
- W3037748865
- Cited by
- 50
- References
- 20
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 13 · 2023: 5 · 2022: 9 · 2021: 6 · 2020: 1
- FWCI
- 2.10
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Vehicle Routing Optimization Methods
- Keywords
- quantum computing, traffic optimization, bus route optimization, real-time navigation, event traffic management, public transport, Volkswagen
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