# Quantum Computing in Intelligent Transportation Systems: A Survey

arXiv: https://arxiv.org/abs/2406.00862 · HTML: https://mlsanity.com/paper/2406.00862/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jun 2024.

## Built on by (most cited first, 4 of 4)

- [Quantum Artificial Intelligence: A Brief Survey](https://mlsanity.com/paper/2408.10726/) (2024)
- [QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems](https://mlsanity.com/paper/2503.01916/) (2025)
- [Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling](https://mlsanity.com/paper/2507.01235/) (2025)
- [Generating Individual Travel Diaries Using Large Language Models Informed by Census and Land-Use Data](https://mlsanity.com/paper/2509.09710/) (2025)

## 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.