Smart Intelligent Traffic Signal System
Abstract & Details
Research Area
Computer science engineering
Keywords
Traffic signal control
Traffic management
Smart city
Arduino
Abstract
Traffic congestion is a serious problem in many major cities around the world and has become a major issue for travellers in all towns. The latency of the corresponding light is hardcoded in the signal and does not rely on traffic. It creates unnecessary delays for passengers, which could not be feasible in every situation, as if they were in time, is essential to everyone. Density, pace, and flow are the three-basic metrics for the study of road traffic. As the number of road users is constantly increasing and the resources provided by the current infrastructure are limited, traffic control has now become a very important issue. Ambulances are also one of the major problems posed by heavy traffic. The goal of this project is to tackle traffic congestion, which is a serious problem in many urban cities around the world. The traffic intensity is regulated by an Arduino. This device includes an IR transmitter and an IR receiver which are placed on either side of the road. The IR device is triggered whenever a vehicle passes between the IR transmitter and the IR receiver. The purpose of the use of an IR sensor is to identify vehicles. Based on the number of car density, the Arduino makes a decision and therefore changes the traffic light delays. If the intensity is greater, the LED will appear longer than the normal average and vice versa. It ensures that the position of the traffic lights is dictated by the number of cars. This helps to reduce traffic congestion and has scope for further expansion in the future. By calculating the traffic lined up on a particular road, the signal timings are changed to enable the particular path to be cleared and then the next one to be filled. It also consists of an emergency override that requires traffic officials to manually activate a particular signal when an ambulance or a large vehicle appears on that road.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Arul Selvam | Anand Institute of Higher Technology |
| 2 | Ananth P | Anand Institute of Higher Technology |
| 3 | Gopi P | Anand Institute of Higher Technology |
| 4 | K. Amsavalli | Anand Institute of Higher Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Selvam, Arul, P, Ananth, P, Gopi, & Amsavalli, K. (2020). Smart Intelligent Traffic Signal System. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 1462-1465.
MLA Style
Selvam, Arul, et al. "Smart Intelligent Traffic Signal System." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 1462-1465.
IEEE Style
Arul Selvam, Ananth P, Gopi P, and K. Amsavalli, "Smart Intelligent Traffic Signal System," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 1462-1465, 2020.
Vancouver Style
Selvam Arul, P Ananth, P Gopi, Amsavalli K.. Smart Intelligent Traffic Signal System. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):1462-1465.
Harvard Style
Selvam, Arul, P, Ananth, P, Gopi, & Amsavalli, K. (2020) 'Smart Intelligent Traffic Signal System', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 1462-1465.
Chicago Style
Selvam, Arul, et al. "Smart Intelligent Traffic Signal System." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1462-1465.
Turabian Style
Selvam, Arul, et al. "Smart Intelligent Traffic Signal System." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1462-1465.
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