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计算机系统应用英文版:2016,25(6):171-174

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基于区域密度的交通拥堵判别方法

陈玉思¹, 蔡坚勇^1,2,3, 王良鸿¹, 石慧玲¹, 童飞扬¹, 陈锦旗¹

(1.福建师范大学光电与信息工程学院, 福州 350007;2.福建师范大学医学光电科学与技术教育部重点实验室, 福州 350007;3.福建师范大学福建省先进光电传感与智能信息应用工程技术研究中心, 福州 350007)

Discriminant Method of Traffic Congestion Based on Regional Density

CHEN Yu-Si¹, CAI Jian-Yong^1,2,3, WANG Liang-Hong¹, SHI Hui-Ling¹, TONG Fei-Yang¹, CHEN Jin-Qi¹

(1.College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China;2.Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou, Fujian 350007, China;3.Fujian Provincial Engineering Research Center for Optoelectronic Sensors and Intelligent Information, Fuzhou, Fujian 350007, China)

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本文已被：浏览 1671次下载 4317次
Received:October 16, 2015 Revised:December 10, 2015

中文摘要: 本文通过对交通流进行特征提取和状态的划分,建立了交通流判别准则.同时提出一种交通拥堵程度的智能判断方法,该方法以区域密度作为判别交通流状态的主要特征值,辅以时间占有率,结合空间和时间维度来判断当前道路的拥挤程度.仿真实验说明该方法具有较好的准确性和客观性.

中文关键词: 特征提取交通流判别准则区域密度时间占有率

Abstract:In this paper, a traffic flow criterion is established which is based on extracting the features of the traffic flow and dividing its state. Combined with spatial and temporal dimensions, a new method is proposed to judge the congestion level of the current road according to the regional density and the time occupancy as the features of the traffic flow state. The simulation shows that this method has better accuracy and objectivity.

keywords: feature extraction traffic criteria regional density time occupancy

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Author Name	Affiliation
CHEN Yu-Si	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
CAI Jian-Yong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou, Fujian 350007, China Fujian Provincial Engineering Research Center for Optoelectronic Sensors and Intelligent Information, Fuzhou, Fujian 350007, China
WANG Liang-Hong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
SHI Hui-Ling	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
TONG Fei-Yang	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
CHEN Jin-Qi	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China

Author Name	Affiliation
CHEN Yu-Si	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
CAI Jian-Yong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou, Fujian 350007, China Fujian Provincial Engineering Research Center for Optoelectronic Sensors and Intelligent Information, Fuzhou, Fujian 350007, China
WANG Liang-Hong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
SHI Hui-Ling	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
TONG Fei-Yang	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
CHEN Jin-Qi	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China

引用文本：
陈玉思,蔡坚勇,王良鸿,石慧玲,童飞扬,陈锦旗.基于区域密度的交通拥堵判别方法.计算机系统应用,2016,25(6):171-174
CHEN Yu-Si,CAI Jian-Yong,WANG Liang-Hong,SHI Hui-Ling,TONG Fei-Yang,CHEN Jin-Qi.Discriminant Method of Traffic Congestion Based on Regional Density.COMPUTER SYSTEMS APPLICATIONS,2016,25(6):171-174