摘要
针对高速公路交通堵塞问题,建立了依据车辆行驶的时空特征信息模型。在经过清洗、修复等处理后的高速公路收费数据中挖掘车辆轨迹信息,建立了交通流状态参数的二维矩阵模型,从该模型中可以得到任一车辆在某一空间位置任一时刻的详细信息,并由此推断出当下时刻其他所有车辆的断面分布状况。通过剖析获得的流量-密度散点关联图以及速度-密度散点关联图,最终获得识别交通流状况的相图。最后以广州某高速公路的资料为例,参照标准对比结果,相对误差0.79%。
Aiming at the problems of highway traffic congestion,a time and space characteristic information model based on vehicle travel is established.A two-dimensional matrix model of the traffic flow state parameters is established,after which vehicle trajectory information is mined in the cleaned and repaired highway toll data.From this model,the detailed information of any vehicle at any time in a certain spatial position can be obtained which infer the cross-sectional distribution of all other vehicles at the moment.Through the analysis of the scatter plot of traffic flow and density and the scatter plot of velocity and density,a phase diagram identifying the state of the traffic flow is obtained.Finally,a experiment taking the data of a highway was conducted in Guangzhou,the comparison result with reference standard shows that the relative error is 0.79%.
作者
王莉
翁小雄
张腾月
WANG Li;WENG Xiaoxiong;ZHANG Tengyue(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou,Guangdong 510640,China)
出处
《公路工程》
北大核心
2020年第3期79-85,共7页
Highway Engineering
基金
国家自然科学基金项目(51578247)
广东省交通运输厅科技项目(科技-2015-02-076)。
关键词
高速公路
收费数据
时空特征信息
交通流参数
交通流相图
expressway
charging data
time and space feature information
traffic flow parameters
traffic flow phase diagram
