Study on dynamic allocation optimization of highway pavement maintenance funds

Authors

ZOU Yi, Jiangxi Ganyue Expressway Engineering Co., Ltd., Nanchang, Jiangxi 330069, ChinaFollow

Abstract

The conflict between the lack of maintenance funds and the growth of maintenance demand restricts the improvement of highway pavement technologies. In this paper, the state space of pavement maintenance demand was defined by the technical condition of the pavement, and the state of demand under different maintenance measures was designed as a Markov decision process. The dynamic allocation optimization model of highway pavement maintenance funds was established, and the corresponding genetic algorithm was designed. Finally, an example was given to simulate the optimized model. The results show that the Markov decision process can dynamically allocate highway pavement maintenance funds, make the whole pavement maintenance demand state tend to be smooth, and maximize the improvement effect of pavement technical conditions.

Publication Date

3-17-2023

DOI

10.14048/j.issn.1671-2579.2023.01.044

First Page

247

Last Page

252

Submission Date

March 2025

Recommended Citation

Yi, ZOU (2023) "Study on dynamic allocation optimization of highway pavement maintenance funds," Journal of China & Foreign Highway: Vol. 43: Iss. 1, Article 44.
DOI: 10.14048/j.issn.1671-2579.2023.01.044
Available at: https://zwgl1980.csust.edu.cn/journal/vol43/iss1/44