Research on route selection of cross-mountain highway based on quantum particle swarm optimization

Huaxing Zhang; Guodong Li; Xinlian Xie

doi:10.1117/12.2646024

23 November 2022 Research on route selection of cross-mountain highway based on quantum particle swarm optimization

Huaxing Zhang, Guodong Li, Xinlian Xie

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123025H (2022) https://doi.org/10.1117/12.2646024
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

In view of the comparison between through mountain highway and winding mountain highway in mountain highway route selection, the terrain and land use data of the study area are obtained by using GIS spatial data processing function. Considering the influence of economic, technical, environmental and safety factors in route selection, the three-dimensional alignment optimization model of mountain crossing highway is constructed to establish cost models for roads and tunnels respectively, the scheme optimization of mountain crossing highway route selection is realized by using quantum particle swarm optimization algorithm. The two route schemes of through mountain highway and winding mountain highway are optimized by case test, and the two route schemes are analyzed and compared. The results show that under certain conditions, the route scheme of through mountain highway is more economical and reasonable than that of winding mountain highway; The three-dimensional alignment optimization model overcomes the local optimization problem existing in the traditional horizontal and vertical section road alignment design, considers the application of tunnel in the route design, and improves the reliability and adaptability of road alignment design; The algorithm can quickly converge to obtain the optimal solution, and can realize the scheme optimization of road route and tunnel. It can provide a certain theoretical reference for road designers in the comparison of schemes of through mountain highway and winding mountain highway.

Citation Download Citation

Huaxing Zhang, Guodong Li, and Xinlian Xie "Research on route selection of cross-mountain highway based on quantum particle swarm optimization", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123025H (23 November 2022); https://doi.org/10.1117/12.2646024

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Roads

Optimization (mathematics)

Particle swarm optimization

Geographic information systems

3D modeling

Genetic algorithms

Particles

Show All Keywords

Keywords/Phrases

Search In:

Publication Years