基于Kruskal的市镇交通畅通工程规划创新算法研究

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中图分类号：TP301.6 文献标识码：A 文章编号：2096-4706（2025）09-0057-06

Abstract： With the rapid increase in urban population and the number of motor vehicles， the problem of traffic congestion has become increasingly prominent. This not only seriously affects the daily travel efficiency and quality of life of residents， but also increases commuting costs and energy consumption. In order to address this challenge， governments at all levels and urban planners are seeking solutions and striving to alleviate congestion through scientific planning and management. Against this backdrop， a research proposes an algorithm for urban traffic smooth engineering planning. This approach abandons complex algorithms such as disjoint-set data structures. By constructing an urban traffic network model and innovatively introducing a two-stage sorting mechanism， it streamlines the operation process of the Kruskal algorithm， thus achieving the optimal layout of the traffic network. The experimental results show that this algorithm is not only simple and easy to understand， but also has good stability and robustness. It provides strong support for enhancing the overall efficiency of the transportation system and becomes an important part of the municipal planning of governments at all levels.

Keywords： urban transportation; Minimum Spanning Tree; Kruskal algorithm; C language algorithm

0 引 言

随着城镇人口规模不断膨胀和机动车数量的快速增长，市镇交通拥堵问题日益加剧，这已成为制约地区发展的瓶颈。（剩余9559字）