Intelligent Traffic Monitoring System through Auto and Manual Controlling using PC and Android Application

Author:

Roy Paromita1,Patra Nivedita1,Mukherjee Amartya2,Ashour Amira S.3,Dey Nilanjan4,Biswas Satya Priya1

Affiliation:

1. Bengal College of Engineering and Technology, India

2. IEM Kolkata, India

3. Tanta University, Egypt

4. Techno India College of Technology, India

Abstract

Traffic congestion in cities is a major problem mainly in developing countries. In order to counter this, many models of traffic systems have been proposed by different scholars. Different ways have been proposed to make the traffic system smarter, reliable and robust. A model is proposed to develop an Intelligent Traffic Monitoring System (ITMS) which uses infrared proximity sensors and a centrally placed microcontroller and uses vehicular length along a lane to implement auto controlling of the traffic. The model also provides mean to control the traffic manually through a PC software and an Android application.

Publisher

IGI Global

Reference29 articles.

1. Road traffic management based on ant system and regulation model.;C.Bertelle;Proc. of the Int. Workshop on Modeling and Applied Simulation,2003

2. Foliage area computation using Monarch Butterfly Algorithm

3. Particle Swarm Optimization based parameter optimization technique in medical information hiding

4. Secure and efficient disjoint multipath construction for fault tolerant routing in wireless sensor networks

5. Chen, S. W., Yang, C. B., & Peng, Y. H. (2007). Algorithms for the traffic light setting problem on the graph model. Taiwanese Association for Artificial Intelligence.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Framework for Autonomous Driving;Advances in Intelligent Systems and Computing;2020-09-22

2. Out-of-store Object Detection Based on Deep Learning;Proceedings of the 2019 11th International Conference on Machine Learning and Computing - ICMLC '19;2019

3. Medical cyber-physical systems: A survey;Journal of Medical Systems;2018-03-10

4. Long-Term and Short-Term Traffic Forecasting Using Holt-Winters Method;Intelligent Systems;2018

5. Mobile Sensor Networks and Robotics;Studies in Big Data;2017-08-15

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