摘要
针对优化校园公交安排建立数学模型。结合Google地图和相关数据,得到校园公交路线有关情况,赋予路线4个指标,并进行熵值判价,用于道路客观性评估。通过经验与实地调查确定校园交通高峰时段,对高峰搭载人数进行合理筹划,并对搭运高峰人数做出数值估计,利用熵值法判断是否为最优解。利用MATLAB与LINGO软件进行整数规划,实现最佳公交调配。
A mathematical model is built to optimize the campus bus arrangement.Combined with Google Maps and related data,the relevant situation of campus bus routes is obtained,four indicators are given to routes,and entropy values are evaluated for road objectivity.Experience and field investigation are used to determine the campus traffic peak hours.The peak number of passengers is reasonably planned,and the number of peak passengers is estimated,and the entropy method is used to determine whether it is the optimal solution.MATLAB and LINGO software are used for integer planning to achieve the best bus deployment.
作者
赵荦明
赵佩宁
胡重阳
张兵兵
苏瑞
曹水源
ZHAO Luoming;ZHAO Peining;HU Chongyang;ZHANG Bingbing;SU Rui;CAO Shuiyuan(Department of Mechanical and Electrical Engineering,Chengdu University of Technology,Chengdu 610059,China;China Railway 16th Bureau Group Co.,Ltd.,Beijing 100018,China)
出处
《机械工程师》
2021年第7期45-47,51,共4页
Mechanical Engineer
基金
四川省大学生创新创业项目(S201910616091)。
关键词
熵值判价法
最大流原理
数值估计
整数规划
entropy valuation method
maximum flow principle
numerical estimation
integer programming
