Reconsideration of optimization for reduction of traffic congestion

Fuente: arXiv
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Autore principale: Ohzeki, Masayuki
Natura: Preprint
Pubblicazione: 2024
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author Ohzeki, Masayuki
author_facet Ohzeki, Masayuki
contents One of the most impressive applications of a quantum annealer was optimizing a group of Volkswagen to reduce traffic congestion using a D-Wave system. A simple formulation of a quadratic term was proposed to reduce traffic congestion. This quadratic term was useful for determining the shortest routes among several candidates. The original formulation produced decreases in the total lengths of car tours and traffic congestion. In this study, we reformulated the cost function with the sole focus on reducing traffic congestion. We then found a unique cost function for expressing the quadratic function with a dead zone and an inequality constraint.
format Preprint
id arxiv_https___arxiv_org_abs_2406_05448
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Reconsideration of optimization for reduction of traffic congestion
Ohzeki, Masayuki
Disordered Systems and Neural Networks
Quantum Physics
One of the most impressive applications of a quantum annealer was optimizing a group of Volkswagen to reduce traffic congestion using a D-Wave system. A simple formulation of a quadratic term was proposed to reduce traffic congestion. This quadratic term was useful for determining the shortest routes among several candidates. The original formulation produced decreases in the total lengths of car tours and traffic congestion. In this study, we reformulated the cost function with the sole focus on reducing traffic congestion. We then found a unique cost function for expressing the quadratic function with a dead zone and an inequality constraint.
title Reconsideration of optimization for reduction of traffic congestion
topic Disordered Systems and Neural Networks
Quantum Physics
url https://arxiv.org/abs/2406.05448