基于收费数据的高速公路交通拥挤自动判别方法  

The automatic traffic congestion identification of freeway based on charging date

作　　者：杨聚芬[1] 姜桂艳[2] 李琦 

机构地区：[1]吉林大学交通学院,长春130022 [2]宁波大学海运学院,浙江宁波315211 [3]青岛市城市规划设计研究院,山东青岛266071

出　　处：《哈尔滨工业大学学报》2014年第12期108-113,共6页Journal of Harbin Institute of Technology

基　　金：国家自然科学基金(51278257);浙江省自然科学基金(LY12F01013);高等学校博士学科点专项科研基金(20110061110034)

摘　　要：针对高速公路交通拥挤日益严重的现象,通过对收费数据的深层挖掘和高效利用,提出了基于滚动时间序列的行程时间数据合成方法,以此为基础构建了交通拥挤指数,并基于交通拥挤指数的变化特征对拥挤持续时间进行了在线估计;结合收费站布局的时空特征,设计了基本路段和复合路段融合的高速公路交通拥挤自动判别方法.实证分析表明,该方法在判别率提高到96.52%,误判率降低到0.43%的同时,判别时间减少了74%,而且收费数据的获取成本为零.In view of increasingly serious traffic congestion on freeway, a synthesis method of travel time date was proposed based on the rolling time sequence and charging data, and on which this paper built a traffic congestion index and estimated the duration time according to the changing characteristics of the index. Moreover, taking the spatial and temporal characteristics of toll station layout into account, a method of automatic traffic congestion identification on freeway was designed by merging basic links with composite links. Empirical analysis shows that this method can improve the recognizing rate to 96.52%and reduce the false recognizing rate to 0.43%, at the same time, the recognizing time is declined by 74%, and the cost of charging date is zero.

关 键 词：交通工程 数据合成 交通拥挤 自动判别 收费数据 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]