高等级公路路段交通状态融合识别模型

重庆交通大学学报（自然科学版） ›› 2010, Vol. 29 ›› Issue (5): 772-775.

高等级公路路段交通状态融合识别模型

陈红, 章渺, 王龙飞, 赵禹乔

长安大学公路学院, 陕西西安 710064

收稿日期:2010-07-07 修回日期:2015-01-22 出版日期:2010-10-15 发布日期:2015-01-22
作者简介:陈红(1963—),女,湖南湘潭人,教授,博士生导师,主要研究方向为交通运输规划与管理,交通环境与安全。E-mail:hongchen82@126.com。

Fusion and Recognition Model of Traffic State on High-Grade Highway Segment

CHEN Hong, ZHANG Miao, WANG Long-fei,ZHAO Yu-qiao

School of Highw ay, Chang'an University, Xi'an 710064, Shaanxi , China

Received:2010-07-07 Revised:2015-01-22 Online:2010-10-15 Published:2015-01-22

摘要/Abstract

摘要： 为了给区域交通管理者提供合理、准确的交通状态信息,提出了一种全新的可用于识别高等级公路路段交通状态的方法。针对路段中检测单元上交通状态决策信息的离散、模糊和时变特征,将路段内相邻检测单元同类交通状态决策信息合并,得到有序交通状态块;基于vague集理论提出了一种新的加权距离公式,并将合并后各交通状态块在路段中的位置和长度作为权重,建立了基于交通状态块决策信息的路段综合交通状态融合识别模型。通过算例验证了该模型的有效性,为识别高等级公路路段交通状态提供了一种新途径。

关键词: 交通工程, 融合识别, vague集, 高等级公路路段, 交通状态决策信息

Abstract: In order to provide reasonable and accurate traffic status information for the traffic managers, a novel method for traffic state recognition based on vague set theory is proposed. According to the characteristics of discreteness, fuzziness and time-variant in the detecting units, decision-making information of adjacent detections units at the same level is merged to obtain a sequence of traffic state blocks. A weighted distance formula is proposed to turn the position and length of traffic state block into weights, and based on which, the fusion and recognition model of traffic states information on high-grade highway segment is established. Examples verify the effectiveness of them ode,l wh ich also prov ide a new w ay to recogn ize the traffic state information of high-grade highway segment

Key words: traffic engineering, fusion and recognition, vague set, high-grade highway segment, traffic state decision information

中图分类号:

U491

陈红, 章渺, 王龙飞, 赵禹乔. 高等级公路路段交通状态融合识别模型[J]. 重庆交通大学学报（自然科学版）, 2010, 29(5): 772-775.

CHEN Hong, ZHANG Miao, WANG Long-fei,ZHAO Yu-qiao. Fusion and Recognition Model of Traffic State on High-Grade Highway Segment[J]. Journal of Chongqing Jiaotong University(Natural Science), 2010, 29(5): 772-775.

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