Website – Based on Vehicle Traffic Monitoring System

Author:

Kurniati P S,Puspitasari A

Abstract

Abstract This research was conducted to provide suggestions how to monitor the road traffic conditions by using data sent from cameras installed at each intersection. Literature study, observation, system design and system testing used as a method in this research. With this method we can make an accurate information system regarding traffic monitoring. The results of this study is to obtained the data such as general conditions of the road, the number of vehicles passing, the average speed of the vehicle, the travel time of the vehicle, the position of congestion and the time of congestion. The creation of a monitoring system is very important because it can provide information about the road conditions clearly. From the current problems, the authors want to make a “Website-Based Vehicle Traffic Monitoring System” which later the system becomes information for road users and the police to monitor traffic.

Publisher

IOP Publishing

Subject

General Medicine

Reference13 articles.

1. Beagleboard embedded system for adaptive traffic light control system with camera sensor;Rachmadi;Jurnal Ilmu Komputer dan Informasi,2012

2. Monitoring of traffic using unmanned aerial vehicle in malaysia landscape perspective;Abdullah;Journal Teknologi,2015

3. Enterpreneurship Menjadi Pembisnis Ulung;Soeryanto Soegoto,2014

4. Research on Urban Intelligent Traffic Monitoring System Based on Video Image Processing;Cao;International Journal of Signal Processing, Image Processing and Pattern Recognition,2016

5. Road traffic control system in cloud computing: a review;Kumar;International Journal of Grid Distribution Computing,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3