Authors: Li Shufang; Zhang Xiu; Zhang Li
Addresses: Chongqing Vocational Institute of Engineering University, Chongqing, 402260, China ' Chongqing Vocational Institute of Engineering University, Chongqing, 402260, China ' Chongqing Vocational Institute of Engineering University, Chongqing, 402260, China
Abstract: In order to improve the rationality of the design of municipal roads and realise the optimal planning and design of municipal roads, an empirical road optimisation design method based on genetic algorithm is proposed. In the sample of remote sensing image of municipal road, by solving the zero uniform ergodic characteristic and logical difference variable scale characteristic of objective function, the analysis and design of complex urban road pattern is realised, according to the principle of pixel correlation, genetic algorithm is used to optimise the design of municipal roads, and the image merging planning analysis model of municipal roads is constructed. The feature classification of municipal roads is carried out by genetic method, and the cross edge contour feature segmentation method of municipal roads is adopted. Optimise planning and network design of municipal roads. The simulation results show that this method can improve the rational layout of municipal road planning and improve the spatial planning capacity and traffic capacity of municipal roads.
Keywords: genetic algorithm; municipal road; image; feature segmentation; networking.
International Journal of Biometrics, 2020 Vol.12 No.1, pp.109 - 119
Received: 02 Mar 2019
Accepted: 11 Apr 2019
Published online: 26 Feb 2020 *