2022
DOI: 10.1109/tits.2021.3132161
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Exploring Potential Applications of Quantum Computing in Transportation Modelling

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Cited by 8 publications
(8 citation statements)
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“…As a result, quantum computing in transportation allows us to imagine more sustainable cities where cars, buses, and pedestrians are routed in real-time in the safest, most efficient ways. 27 The advantages of quantum computing are manifold. For instance, routing optimization has the following applications: it decreases the amount of time people spend in traffic, increases safety, lowers pollution, and helps city planners better visualise the impact of large-scale infrastructure projects like public transportation.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, quantum computing in transportation allows us to imagine more sustainable cities where cars, buses, and pedestrians are routed in real-time in the safest, most efficient ways. 27 The advantages of quantum computing are manifold. For instance, routing optimization has the following applications: it decreases the amount of time people spend in traffic, increases safety, lowers pollution, and helps city planners better visualise the impact of large-scale infrastructure projects like public transportation.…”
Section: Introductionmentioning
confidence: 99%
“…QST utilizes quantum effects to accomplish something that a conventional sensor cannot [1][2][3][4][5]. Due to quantum systems' extraordinary sensitivity to external perturbations, quantum sensors precisely monitor various physical characteristics, including temperature, pressure, frequency, acceleration, rotation, magnetic and electric fields, and more [2].…”
Section: Introductionmentioning
confidence: 99%
“…Although QST is still developing, it has already attracted a great deal of interest from the community, domain experts, and researchers in numerous fields. Despite the high expectations, there is currently a lack of information regarding where and how QST can be effectively deployed and how it may affect the systems research domain [3]. Furthermore, application-oriented contributions to QST research tend to be scarce, fragmented, and narrowly focused [4].…”
Section: Introductionmentioning
confidence: 99%
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