Quantum Computing in Intelligent Transportation Systems: A Survey
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Abstract (arXiv)
Quantum computing, a field utilizing the principles of quantum mechanics, promises great advancements across various industries. This survey paper is focused on the burgeoning intersection of quantum computing and intelligent transportation systems, exploring its potential to transform areas such as traffic optimization, logistics, routing, and autonomous vehicles. By examining current research efforts, challenges, and future directions, this survey aims to provide a comprehensive overview of how quantum computing could affect the future of transportation.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Jun 2024.
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Citing papers per year: 2024: 1; 2025: 3.
4 papers.
- 2024Quantum Artificial Intelligence: A Brief Surveycited by 3
- 2025QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systemscited by 1
- 2025Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modellingcited by 0
- 2025Generating Individual Travel Diaries Using Large Language Models Informed by Census and Land-Use Datacited by 0
- 2025Generating Individual Travel Diaries Using Large Language Models Informed by Census and Land-Use Data7 Sep 2025
- 2025Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling1 Jul 2025
- 2025QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems1 Mar 2025
- 2024Quantum Artificial Intelligence: A Brief Survey20 Aug 2024