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Quantum Computing in Intelligent Transportation Systems: A Survey

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arxiv 2406.00862 v2 pith:Y5T6B23K submitted 2024-06-02 quant-ph cs.DC

classification quant-phcs.DC
keywords quantumcomputingsurveytransportationfutureintelligentsystemsacross
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Q-RESTORE: Quantum-Driven Framework for Resilient and Equitable Transportation Network Restoration

    cs.MA 2025-01 reject novelty 3.0 of 10

    A D-Wave hybrid solver is applied to post-disaster road restoration on a 24-zone Sioux Falls network, with claimed speed and equity advantages that the paper's own equations do not support.

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