About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II

Research Article

Design and Development of An Innovative Traffic Management System Using Drone: Kapi Dhwaja

Download8 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.28-4-2025.2358009,
        author={B.R.B  Jaswanth and G.V.S.N.R.V.  Prasad and M.  Manikanta and B.  Mohan and M.  Sai Charan and S.N.V.  Prasad},
        title={Design and Development of An Innovative Traffic Management System Using Drone: Kapi Dhwaja},
        proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II},
        publisher={EAI},
        proceedings_a={ICITSM PART II},
        year={2025},
        month={10},
        keywords={drone traffic congestion wireless communication system surveillance real-time control},
        doi={10.4108/eai.28-4-2025.2358009}
    }
    
  • B.R.B Jaswanth
    G.V.S.N.R.V. Prasad
    M. Manikanta
    B. Mohan
    M. Sai Charan
    S.N.V. Prasad
    Year: 2025
    Design and Development of An Innovative Traffic Management System Using Drone: Kapi Dhwaja
    ICITSM PART II
    EAI
    DOI: 10.4108/eai.28-4-2025.2358009
B.R.B Jaswanth1,*, G.V.S.N.R.V. Prasad1, M. Manikanta1, B. Mohan1, M. Sai Charan1, S.N.V. Prasad1
  • 1: Seshadri Rao Gudlavalleru Engineering College
*Contact email: jaswanthiot@gmail.com

Abstract

Integrating drone technology in traffic management offers an innovative solution to congestion and road safety challenges by providing aerial surveillance and real-time control. Equipped with high-resolution cameras and speakers, drones can stream live footage to a central control station, enabling law enforcement to monitor traffic conditions remotely and communicate with drivers and pedestrians without needing a physical presence. This approach enhances traffic regulation, reduces response times, and improves safety, particularly in congested or high-risk areas. Future advancements, including AI-driven traffic analysis and smart city integration, will further optimize traffic monitoring and enforcement, making urban mobility more efficient and secure.

Keywords
drone, traffic congestion, wireless communication system, surveillance, real-time control
Published
2025-10-14
Publisher
EAI
http://dx.doi.org/10.4108/eai.28-4-2025.2358009
Copyright © 2025–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL