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Corresponding Author

吕松涛，男，博士，教授.E-mail：[email protected]

Abstract

Cracks are one of the most common pavement surface distresses. Early crack repair can effectively extend the service life of the pavement. To further enhance the intelligence level of crack repair, efficient automated crack repair technology is particularly important in practical engineering applications. To improve the efficiency of the path planning algorithm embedded in crack repair machines in engineering applications, this paper investigated the automatic repair path planning technology for the multi-crack repair path planning problem in pavement areas. Firstly, a multi-crack repair path planning model was established with the goal of minimizing the total repair path of the machine. Subsequently, an improved tabu search algorithm (ITS) was developed based on the objective function and constraint rules to achieve efficient planning of automatic crack repair paths. To verify the effectiveness of ITS in solving practical crack repair path planning problems, experiments were conducted on four small-scale scenarios with 9-12 cracks and four large-scale scenarios with 20 dispersed cracks, 20 concentrated cracks, 30 dispersed cracks, and 30 concentrated cracks. The performance of ITS in terms of solution quality, computation time, and stability was analyzed and compared with the traversal algorithm (TA), tabu search algorithm (TS), and greedy algorithm (GA). The results show that in terms of solution q uality, ITS consistently obtains optimal solutions in small-scale scenarios. In large-scale scenarios, ITS outperforms TS by 30%, 18%, 19%, and 29%, and outperforms GA by 8%, 14%, 16%, and 10%, respectively. In terms of computation time, ITS can stably obtain near-optimal solutions for small-scale scenarios within 0.4 s and for large-scale scenarios within 1 s.

Publication Date

10-29-2026

DOI

10.14048/j.issn.1671-2579.2026.05.028

First Page

267

Last Page

275

Submission Date

October 2026

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