摘要
交通流的复杂特性决定了交通状态的判别存在一定的模糊性.提出了一种模糊综合层次分析判别方法,将时间占有率、平均速度、车辆平均延误、饱和度及平均最大排队长度作为评价指标,提出各评价指标隶属度函数,确定各指标权重系数,建立模糊综合判别模型.采用VISSIM仿真软件模拟典型交叉口运行情况,结果表明这种模糊综合判别模型贴切地反映了道路的交通运行状况,具有一定的准确性和稳定性,是分析交通状态的一种有效方法.
There is a certain ambiguity in traffic state evaluation because of the traffic flow complexity.In consideration of time occupancy,average travel speed,vehicle average delay,saturation and average maximum queue length as evolution index,the paper proposes a fuzzy comprehensive analytic hierarchy process,establishes the membership function of each index,and determines the index weight coefficient to form a fuzzy comprehensive evolution model by using VISSIM to simulate the selected intersection.The result proves that the fuzzy comprehensive evolution model can reflect the true traffic state with a certain accuracy and stability effective in analyzing traffic state.
出处
《青岛理工大学学报》
CAS
2015年第6期103-110,119,共9页
Journal of Qingdao University of Technology
基金
国家自然科学基金资助项目(51178231)
智能交通技术交通行业重点实验室开放基金课题(2013-ITSC-JK003)
关键词
交通状态
评判指标体系
隶属度
模糊综合层次分析法
traffic state
evaluation index system
membership grade
fuzzy comprehensive analytic hierarchy process