ZHANG Teng, HUANG Min, LIU Fang, et al. Optimization method of intersection guide sign setting based on artificial bee colony algorithm[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 2019,58(3):131-139.
ZHANG Teng, HUANG Min, LIU Fang, et al. Optimization method of intersection guide sign setting based on artificial bee colony algorithm[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 2019,58(3):131-139. DOI: 10.13471/j.cnki.acta.snus.2019.03.016.
When there are many unreachable paths in the road network
there exists mutual influence between the paths
and the optimization cannot reach the overall optimum. Aiming at this phenomenon
a new integrated optimization model is presented. Firstly
the accessibility and comprehensive optimization of guide path are analyzed. Based on this
a comprehensive path optimization guidelines model is proposed with the optimization of the path length and the number of guidance information. Then combining with artificial bee colony algorithm and a neighborhood search strategy for road networks
the algorithm is designed to solve the problem of the concrete design. Finally
Guangzhou Higher Education Mega Center is chosen as the test area. The integrated optimization guidelines of the multiple guidance paths with the aim of Sun Yat-sen University are realized using the proposed model. In addition
comparing with single optimization results
experimental results show that the model can effectively solve the optimization problem for multiple path guidance
and the path quality is consider as a whole.
关键词
交通工程指路标志诱导系统人工蜂群算法指引路径线性规划模型
Keywords
traffic engineeringguide sign systemartificial bee colony algorithmguiding pathlinear programming model