arrow
返回

Detecting cycle failures at signalized intersections using video image processing

delete2006-08-01
delete23
PRE
AI
J
Jianyang Zheng
Yinhai Wang 封面图
Yinhai Wang (Yinhai Wang) *
DOI:10.1111/j.1467-8667.2006.00447.xdelete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Signal cycle failure (or overflow) is an interrupted traffic condition in which a number of queued vehicles are unable to depart due to insufficient capacity during a signal cycle. Cycle failure detection is essential for identifying signal control problems at intersections. However, typical traffic sensors do not have the capability of capturing cycle failures. In this article, we introduce an algorithm for traffic signal cycle failure detection using video image processing. A cycle failure for a particular movement occurs when at least one vehicle must wait through more than one red light to complete the intended movement. The proposed cycle failure algorithm was implemented using Microsoft Visual C#. The system was tested with field data at different locations and time periods. The test results show that the algorithm works favorably: the system captured all the cycle failures and generated only three false alarms, which is approximately 0.9% of the total cycles tested.
Keyword:
PARAMETERS
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

C
Computer-Aided Civil and Infrastructure Engineering
IF:
9.1
论文数:
2.0K
被引数:
10.0K

机构

暂无机构信息
引用论文

引用论文

err分享
err收藏
Detection and classification of vehicles
err2002-03-01
err560
PREAI
errGupte, S; Masoud, O; Martin, RFK; Papanikolopoulos, NP
err分享
err收藏