Internet of Things based Adaptive Traffic Management System as a part of Intelligent Transportation System (ITS)

被引:0
|
作者
Dubey, Ankit [1 ]
Lakhani, Mayuri [1 ]
Dave, Shivansh [1 ]
Patoliya, Jignesh J. [1 ]
机构
[1] CHARUSAT, CSPIT, Dept Elect & Commun Engn, Anand, Gujarat, India
关键词
Internet Of Things; Traffic Management System; Intelligent Transportation System;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Traffic congestion and higher average waiting time has been a problem for a very long time. The purpose of this project is to design and implement a traffic system that is adaptive to nature of the traffic in respective lanes. Most of traffic signals are having counters according to which the traffic lights of different lanes get changed one by one. To solve this problem of fixed wait time, counter for any traffic, we proposed this adaptive traffic system which is connected to internet so that different lanes can be monitored constantly. The data obtained from different lanes are examined and controlled by Central Traffic Control Office from one place. Data obtained thus gives value of traffic congestion in particular lane, according to which traffic lights are programmed to work. If the first lane is having less traffic than other lane, then the signal lights will be decided on the basis of less wait time and less pollution. This system also gives idea to drivers to choose the path with less congestion. This system is also useful in emergency and VIP clearance and in traffic survey. This increases the efficiency of traffic clearance. This also reduces pollution and traffic congestion, thus being an Adaptive Traffic Control System using Internet of Things.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Intelligent Toilet Management System with Internet of Things Technology
    Cai, Wan-Zhen
    Chou, Nien-Shiang
    Tsai, Ming-Fong
    Lin, Yu-Cheng
    2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2019,
  • [42] Internet of Things network cognition and traffic management system
    Sharif, Abida
    Li, Jian Ping
    Sharif, Muhammad Irfan
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 6): : 13209 - 13217
  • [43] Internet of Things network cognition and traffic management system
    Abida Sharif
    Jian Ping Li
    Muhammad Irfan Sharif
    Cluster Computing, 2019, 22 : 13209 - 13217
  • [44] Smart Traffic Management System Using Internet of Things
    Javaid, Sabeen
    Sufian, Ali
    Pervaiz, Saima
    Tanveer, Mehak
    2018 20TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT), 2018, : 393 - 398
  • [45] Efficient Intelligent Smart Ambulance Transportation System using Internet of Things
    Salem Jeyaseelan, W.R.
    Krishnan, Rajkumar
    Arunkumar, M.
    Alagarsamy, Parameswari
    Tehnicki Vjesnik, 2024, 31 (01): : 171 - 177
  • [46] Efficient Intelligent Smart Ambulance Transportation System using Internet of Things
    Jeyaseelan, W. R. Salem
    Krishnan, Rajkumar
    Arunkumar, M.
    Alagarsamy, Parameswari
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2024, 31 (01): : 171 - 177
  • [47] Traffic and transportation management data storage terminal based on Internet of Things
    Yu, Yue
    Li, Qiang
    Duan, Maojun
    Yuan, Minxi
    Song, Ziheng
    Intelligent Decision Technologies, 2024, 18 (04) : 3285 - 3299
  • [48] Design and implementation of intelligent traffic and big data mining system based on internet of things
    Li, Weiguang
    Zhu, Juan
    Zhang, Yong
    Zhang, Shuyan
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (02) : 1967 - 1975
  • [49] Development of Intelligent Traffic Control System based on Internet of Things and FPGA Technology in PROTEUS
    Ou, Haoyuan
    Wang, Yi
    Zhang, Jianming
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND SOCIETY, 2016, 37 : 405 - 409
  • [50] Detection and recognition of stationary vehicles and seat belts in intelligent Internet of Things traffic management system
    Wang, Zhenyan
    Ma, Yongjie
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (05): : 3513 - 3522