End-to-end BIM-based optimization for dual-objective road alignment design with driving safety and construction cost efficiency

• Published in: Automation in construction 2023-07, Vol.151, p.104884, Article 104884
• Main Authors: Han, Chengjia, Han, Tao, Ma, Tao, Tong, Zheng, Wang, Siqi, Hei, Tianqing
• Format: Article
• Language: English
• Subjects: Automatic driving simulation; Building information model; Dual-objective optimization; Genetic algorithms; Parametric modeling; Road alignment design
• ISSN: 0926-5805; 1872-7891
• DOI: 10.1016/j.autcon.2023.104884

Road alignment design is crucial to ensure driving safety. The application of BIM technology increases efficiency and reliability in the road design process. However, it is challenging to consider multiple factors in BIM-based road alignment design. This study proposed an optimization design framework considering driving safety and road construction costs using BIM. A fast and reliable parameterization method was developed for road alignment. The BIM technique was used for modeling and earthworks statistics. The automated driving simulation was performed using MATLAB to quantify driving safety, and NSGA-II was used to solve the optimal alignment. The entire data interaction procedure is end-to-end. The framework was applied to the design project of the Phnom Penh-Sihanoukville highway. The proposed optimization method results show a combined improvement of 6.6% compared to the expert design results. •An end-to-end BIM-based framework for road alignment design is proposed.•Road alignment is parameterized in a reliable and fast manner.•Driving safety & comfort is considered by driving simulation module external in Matlab.•A data interaction and application method between Civil 3D and Matlab is proposed.•The dual-objective optimization method based on NSGA-II is applied to the framework.