FlowOptix : A Traffic Signal Control and Management System

Author:

Viraj Tapkir ,Shubham Shinde ,Mitesh Shetkar ,Sonali Dalvi

Abstract

The innovation in the field of vehicles has led to the access of vehicles in high reach, thus increasing the number of vehicle counts. But this increase count has created a need of managing the congestion of vehicles on road in a more efficient way. The traditional system and approach of the traffic signal systems isn’t adequate enough to tackle the increasing congestion. The traditional system tends to be efficient where the count is sparse, as the density of vehicles on a particular side of road increases or if the traffic is comparatively larger on one side than other side in such case the approach fails. Hence, the introduced system redesigns the traffic signal system that is static switching to signal switching based on real-time traffic management. So, in this project the switching time of signal will be decided based on real time image detection with good accuracy in dense traffic. This practice can prove its most effectiveness in releasing the congested traffic at an efficient and faster rate.

Publisher

Technoscience Academy

Reference12 articles.

1. “Augmenting Traffic Signal Control Systems for Urban Road Networks With Connected Vehicles” Craig B. Rafter, Bani Anvari, Simon Box, Tom Cherrett IEEE transactions on Intelligent Transportation Systems, vol. 21, no. 4, April 2020.

2. “Global traffic scorecard,” INRIX, Kirkland, WA, USA, Tech. Rep. 1, 2017.

3. B. Waterson and S. Box, “Quantifying the impact of probe vehicle localisation data errors on signalised junction control,” IET Intell. Transp. Syst., vol. 6, no. 2, p. 197, 2012.

4. D. I. Robertson, “TRANSYT: A traffic network study tool,” Transp. Road Res. Lab., Tech. Rep. LR253, 1969.

5. G. R. Vincent and J. R. Peirce, “MOVA: Traffic responsive, selfoptimising signal control for isolated intersections,” Transp. Road Res.Lab., Tech. Rep. RR170, 1988.

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