基于区域密度的交通拥堵判别方法①-计算机系统应用.PDF

2016 年 第 25 卷 第 6 期 计 算 机 系 统 应 用 基于区域密度的交通拥堵判别方法① 1 1,2,3 1 1 1 1 陈玉思 , 蔡坚勇 , 王良鸿 , 石慧玲 , 童飞扬 , 陈锦旗 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) 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. 关键词: 特征提取; 交通流判别准则; 区域密度; 时间占有率 Discriminant Method of Traffic Congestion Based on Regional Density 1 1,2,3 1 1 1 1 CHEN Yu-Si , CAI Jian-Yong , WANG Liang-Hong , SHI Hui-Ling , TONG Fei-Yang , CHEN Jin-Qi 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) 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. Key words: feature extraction; traffic criteria; regional density; time occupancy 当前对交通拥堵的判定方法越来越丰富, 常用的 拥堵, 数据的可靠性相对具有局限性, 导致结果的准 交通拥堵判定方法有基于传感器的,