Studies on the TMS Using IR Sensors for Avoiding Congestion in Traffic on Indian City Roads

被引:3
|
作者
Rao, N. Thirupathi [1 ]
Bhattacharyya, Debnath [1 ]
机构
[1] Vignans Inst Informat Technol, Dept Comp Sci & Engn, Visakhapatnam, Andhra Pradesh, India
来源
关键词
Traffic Monitoring; IR Sensors; 8051; Microcontroller; Congestion avoidance in traffic;
D O I
10.26821/IJSRC.6.2.2018.6203
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In the current research article, a comprehensive presentation of the developed transport monitoring system was explained. The present monitoring system was developed and implemented with the help of count sensors, microcontroller and other units necessary to advise the drivers whoever using the busy roads. The current system works by processing the data that was being collected from the sensors that were placed in the ground of the roads. The main goal of developing this traffic monitoring system was to collect the movement of vehicles that were moving on a selected busy roads over a period of time and suggest the drivers to take other available routes in the city such that to reduce the congestion on the city roads. Based on the number of vehicles that were being travelling towards the road by crossing the sensor units were calculated and the suggestion was given to drivers whoever using such roads in terms of heavy traffic, moderate traffic and light traffic to the drivers. The data from the sensors will be collected by a system that was placed at the side of the road and the monitoring system will process the data and three available appropriate decisions will be given to the traffic signal that were placed at the various signal points before to the actual busiest signal point. Based on the traffic signal lights of the monitoring system, the drivers can take the decision of diverting the vehicle to other possible routes such that the congestion in heavy traffic roads can be avoided such that the time travelling time of the passengers can be reduced. The present system was deployed on the selected roads and collected the results at various timeslots and the signals were being tested with various set of results that were evolved with various time slots. The results were tabulated in the results section and the future scope of the traffic monitoring system was also discussed in the conclusion section.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 33 条
  • [1] Traffic Monitoring on City Roads Using UAVs
    Elloumi, Mouna
    Dhaou, Riadh
    Escrig, Benoit
    Idoudi, Hanen
    Saidane, Leila Azouz
    Fer, Andrei
    [J]. AD-HOC, MOBILE, AND WIRELESS NETWORKS (ADHOC-NOW 2019), 2019, 11803 : 588 - 600
  • [2] Rethinking the Cost of Traffic Congestion, Lessons from Melbourne's City Link Toll Roads
    Low, Nicholas
    Odgers, John
    [J]. URBAN POLICY AND RESEARCH, 2012, 30 (02) : 189 - 205
  • [3] The Traffic Congestion Analysis Using Traffic Congestion Index and Artificial Neural Network in Main Streets of Electronic City (Case Study: Hamedan City)
    ShirMohammadi, Mohammad Mehdi
    Esmaeilpour, Mansour
    [J]. PROGRAMMING AND COMPUTER SOFTWARE, 2020, 46 (06) : 433 - 442
  • [4] The Traffic Congestion Analysis Using Traffic Congestion Index and Artificial Neural Network in Main Streets of Electronic City (Case Study: Hamedan City)
    Mohammad Mehdi ShirMohammadi
    Mansour Esmaeilpour
    [J]. Programming and Computer Software, 2020, 46 : 433 - 442
  • [5] Evaluation of outlier detection algorithms for traffic congestion assessment in smart city traffic data from vehicle sensors
    Ruiz Blazquez, Ramona
    Munoz Organero, Mario
    Sanchez Fernandez, Luis
    [J]. INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2018, 25 (3-4) : 308 - 321
  • [6] Smart Traffic Light Signalling System using IR Sensors
    Lohitha, D.
    SuneelKumar, Ch.
    Kantha, C. Muni
    [J]. HELIX, 2018, 8 (01): : 2701 - 2705
  • [7] Control of congestion and traffic light using intelligent approaches in smart city
    Rath M.
    Pati B.
    Panigrahi C.R.
    Peng S.-L.
    [J]. International Journal of Wireless and Mobile Computing, 2020, 18 (04) : 371 - 380
  • [9] Alternative approach to traffic state analysis on Indian roads using image processing
    Reddy, Santosh Kumar
    Ram, Bhargav
    O'Byrne, Michael
    Vanajakshi, Lelitha
    Ghosh, Bidisha
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT, 2019, 172 (06) : 336 - 346
  • [10] Pitfree: Pot-holes detection on Indian Roads using Mobile Sensors
    Singal, Gaurav
    Goswami, Anurag
    Gupta, Suneet
    Choudhary, Tejalal
    [J]. PROCEEDINGS OF THE 2018 IEEE 8TH INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC 2018), 2018, : 185 - 190