摘要
针对城市路网中对交通运行起着决定性作用的关键路段识别问题,首先,对浮动车数据进行了异常数据处理与地图匹配.其次,将关键路段划分为重要路段和脆弱路段,基于路段连接度、饱和度和路段介数建立了重要路段识别模型.同时,基于容量可靠度建立了路段脆弱性判别模型,并采用蒙特卡洛方法(Monte Carlo,MC)实现了模型求解.最后,利用包含有快速路、主干路、次干路及支路的复杂城市道路网络作为研究对象进行验证分析.结果表明:所构建模型和方法可有效准确识别关键路段,路段重要度更能客观反映关键路段对路网运行效能的影响程度,而且道路等级高的路段其关键程度较高.
To address the problem of identifying key road sections in urban road networks,which play a decisive role in traffic operation,first,abnormal data processing and map matching are performed on the floating car data.Second,the key road sections are divided into important sections and vulnerable sections.An important section identification model is established based on the section connectivity,saturation and betweenness.Meanwhile,a section vulnerability discriminant model is established based on capacity reliability.Then Monte Carlo(MC)method is adopted to solve the model.Third,a complex urban road network including expressways,main roads,sub-main roads and branch roads is used as the research object for verification and analysis.The results show that the constructed model and method can effectively and accurately identify key road sections,and the importance of road sections can objectively reflect the degree of impact of key road sections on the operational efficiency of the road network,and road sections with high road grades have a higher degree of criticality.
作者
赵建东
贾卓瑾
梁营力
孟畅畅
ZHAO Jiandong;JIA Zhuojin;LIANG Yingli;MENG Changchang(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China;Henan Transportation Planning and Design Institute Co.,Ltd.,Zhengzhou 450000,China)
出处
《北京交通大学学报》
CAS
CSCD
北大核心
2021年第4期54-60,78,共8页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
国家重点研发计划(2018YFB1600900)
国家自然科学基金(71871011)
河南省交通运输厅科技项目(2020G3)。
关键词
交通工程
关键路段
间接度量
蒙特卡罗法
容量可靠度
traffic engineering
key road section
indirect measurement
Monte Carlo method
capacity reliability
