Congestion Handling Organisation using Cybersafe
Abstract & Details
Research Area
Information Science Engineering
Keywords
Internet of Things (IoT)
Traffic
Congestion
Traffic signal
Automobiles.
Abstract
In current scenario, vehicle industries has grown immensely with the rapid demand and interests for purchasing different automobiles in metropolitan cities like Delhi, Bangalore, Chennai, Kolkata. Due to the rising congestion issues all over India with the rise in congestion and traffic level in Delhi and Bangalore provided a lot of time waste and accidents due to panic can chaos caused inside people. Thus, it is necessary to take a step in solving this issue which requires efficient thinking to develop the solution for this problem. Internet of things have been rising its applications in different domains and with the implementation of IOT many problems are solved rapidly, giving us the full advantage of developing an efficient model to control this traffic congestion. Traffic can be controlled by either using traffic light or traffic police. The traditional traffic light methods are failing due to the rise of cross-sectioned roads and rise in the no of vehicles on limited roads. A smart system is required so that, it sense the congestion level in areas and provide the best solution to reduce the congestion without involving any human. Creating congestion less roads and moreover, providing conventional methods. Each traffic signal has a fixed duration that cannot be varied based on the traffic density on each lane. This smart traffic light system cab be replaced with the traditional system where the lights will sense the congestion level and act rapidly to avoid it. Moreover it will be an advantage if the system will provide the utilization of the roads which are not used in terms to reduce the congestion and ease the flow of vehicles by cutting out the queue length at signal.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Muskaan Agarwal | Dayananda Sagar Academy Of Technology And Management |
| 2 | Navya Bhatt | Dayananda Sagar Academy Of Technology And Management |
| 3 | Mehnaz Fatma | Dayananda Sagar Academy Of Technology And Management |
| 4 | Pavan Kalyan M | Dayananda Sagar Academy Of Technology And Management |
| 5 | J T Thirukrishna | Dayananda Sagar Academy Of Technology And Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Agarwal, Muskaan, Bhatt, Navya, Fatma, Mehnaz, M, Pavan Kalyan, & Thirukrishna, J T (2023). Congestion Handling Organisation using Cybersafe. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 2480-2487.
MLA Style
Agarwal, Muskaan, et al. "Congestion Handling Organisation using Cybersafe." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 2480-2487.
IEEE Style
Muskaan Agarwal, Navya Bhatt, Mehnaz Fatma, Pavan Kalyan M, and J T Thirukrishna, "Congestion Handling Organisation using Cybersafe," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 2480-2487, 2023.
Vancouver Style
Agarwal Muskaan, Bhatt Navya, Fatma Mehnaz, M Pavan Kalyan, Thirukrishna J T. Congestion Handling Organisation using Cybersafe. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):2480-2487.
Harvard Style
Agarwal, Muskaan, Bhatt, Navya, Fatma, Mehnaz, M, Pavan Kalyan, & Thirukrishna, J T (2023) 'Congestion Handling Organisation using Cybersafe', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 2480-2487.
Chicago Style
Agarwal, Muskaan, et al. "Congestion Handling Organisation using Cybersafe." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2480-2487.
Turabian Style
Agarwal, Muskaan, et al. "Congestion Handling Organisation using Cybersafe." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2480-2487.
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