Reconsideration of optimization for reduction of traffic congestion

Masayuki Ohzeki
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Abstract

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.
重新考虑减少交通拥堵的优化方案
量子退火器最令人印象深刻的应用之一是利用 D-Wave 系统优化一组大众汽车,以减少交通拥堵。为了减少交通拥堵,我们提出了一个简单的二次项公式。该二次项有助于在多个候选路径中确定最短路径。最初的公式减少了汽车旅行的总长度和交通拥堵。在这项研究中,我们制定的成本函数只关注减少交通拥堵。然后,我们找到了一个唯一的成本函数,用于表达带有死区和不等式约束的二次函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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