| 车道流量自动统计及被占用对通行的影响 |
| |
| 引用本文： | 李琨,孙川,张丽华,薛慧,姜超. 车道流量自动统计及被占用对通行的影响[J]. 计算机系统应用, 2017, 26(4): 148-154 |
| |
| 作者姓名： | 李琨 孙川 张丽华 薛慧 姜超 |
| |
| 作者单位： | 内蒙古工业大学 理学院, 呼和浩特 010051,内蒙古工业大学 理学院, 呼和浩特 010051;内蒙古师范大学 地理科学学院, 呼和浩特 010022,内蒙古师范大学 地理科学学院, 呼和浩特 010022,内蒙古工业大学 理学院, 呼和浩特 010051,内蒙古工业大学 理学院, 呼和浩特 010051 |
| |
| 基金项目： | 内蒙古自然科学基金（2016MS0408）；内蒙古自治区高等学校科学研究重点项目（NJZZ16041）；国家自然科学基金（11562016）；国家留学基金 |
| |
| 摘 要： | 车流量检测是智能交通监控系统的重要组成部分. 提出一种基于灰度阈值的车流量检测算法，利用该算法对一条三车道道路上同一横断面相邻车道发生交通事故时，另一条未发生交通事故车道的车流量进行了统计，并对不同的未发生交通事故车道（内车道和外车道）的车流量的差异进行了t检验. 结果表明，利用该算法统计的车道的车流量准确率达95%以上，说明该算法是可行有效的；当相邻车道发生交通事故时，不同的未发生交通事故车道（内车道和外车道）的通行能力有显著差异.
|
| 关 键 词： | 视频图像 灰度值 t检验 自动统计 事故横断面 实际通行能力 |
| 收稿时间： | 2016-07-31 |
| 修稿时间： | 2016-10-24 |
Automatic Statisticson on Traffic Flow and the Impact on Road Capacity When Being Occupied |
| |
| LI Kun,SUN Chuan,ZHANG Li-Hu,XUE Hui and JIANG Chao. Automatic Statisticson on Traffic Flow and the Impact on Road Capacity When Being Occupied[J]. Computer Systems& Applications, 2017, 26(4): 148-154 |
| |
| Authors: | LI Kun SUN Chuan ZHANG Li-Hu XUE Hui JIANG Chao |
| |
| Affiliation: | College of Science, Inner Mongolia University of Technology, Hohhot 010051, China,College of Science, Inner Mongolia University of Technology, Hohhot 010051, China;College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China,College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China,College of Science, Inner Mongolia University of Technology, Hohhot 010051, China and College of Science, Inner Mongolia University of Technology, Hohhot 010051, China |
| |
| Abstract: | Traffic flow detection is an important part in Intelligent Traffic Control System. A traffic flow detection algorithm based on gray threshold is presented in this paper. When a traffic accident occurs on the neighboring lanes of the same cross section in a three lane road, the traffic flow on the other lane (inside lane or outside lane) where no traffic accident occurred is detected by using this algorithm. And the difference between the traffic flow in inside lane and in outside lane is tested by t test. The results show that the accuracy of traffic flow is more than 95% when using this algorithm, which indicates that this algorithm is feasible and effective. When a traffic accident occurs on the neighboring lanes, the difference between the traffic flow in inside lane and in outside lane is significant. |
| |
| Keywords: | video image gray value t test automatic statistics the accident cross-sectional the actual capacity |
|
| 点击此处可从《计算机系统应用》浏览原始摘要信息 |
|
点击此处可从《计算机系统应用》下载全文 |
|
