IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

PRIORITY PASSAGE : ENFORCING PENALTIES FOR OBSTRUCTING AMBULANCE SERVICES

Deepthi V Naik Surya P G Sahil Mund Vettri selvane V M

Dr.Kamalraj R

Department of CSIT JAIN University Bengaluru India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Efficient ambulance response in urban areas is often hindered by traffic congestion and drivers failing to yield right-of-way, leading to avoidable fatalities. This paper proposes an IoT-enabled system (IAPTVC) that automates detection and penalization of vehicles ob- structing ambulances. Using GPS for real-time ambulance tracking, short-range wireless sensors (RFID/DSRC) for proximity detection, ANPR cameras for capturing license plates, and a secure cloud backend, the system monitors whether motorists yield during an emergency. Violations trigger automated reporting to authorities, generating fines via a centralized dashboard. Feasibility analysis shows all components are mature and integrable with existing smart-city infrastructure. Operational tests (simulated) indicate the system can function autonomously without burdening ambulance crews. Economically, initial costs are offset by reduced healthcare expenditures and fine revenues. In sum, the proposed solution promises to enhance emergency response, improve traffic law com- pliance through real-time enforcement, and aligns with smart city goals of data-driven public safety management.

How to Cite this Paper

Naik, D. V., G, S. P., Mund, S. & M, V. S. V. (2026). Priority Passage : Enforcing Penalties For Obstructing Ambulance Services. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i3.276

Naik, Deepthi, et al.. "Priority Passage : Enforcing Penalties For Obstructing Ambulance Services." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.276.

Naik, Deepthi,Surya G,Sahil Mund, and Vettri M. "Priority Passage : Enforcing Penalties For Obstructing Ambulance Services." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.276.

Search & Index

References


  1. Bjørnelv, M. W., Næss, L. E., Skogseid, A. K., Wattø, J.-O., Bjørngaard, J. H. (2025). Does delayed response due to busy ambulances impact risk of death and hospital service use? Prehospital Emergency Care. https://doi.org/10.1080/10903127.2025.xxxxxx

  2. Elvik, R., Christensen, P. (2007). The deterrent effect of increasing fixed penalties for traffic offences: The Norwe- gian Journal of Safety Research, 38(6), 689–695. https://doi.org/10.1016/j.jsr.2007.09.007

  3. Modi, (2025, November 5). IoT-Based Automated Traffic Challan System with ADAS Integration. Developer Commu- nity. Retrieved January 2026, https://community.ibm.com/community/user/blogs/ashish-modi/2025/11/05/ iot-basedautomated-traffic-challan-system- with-ad

  4. Sarrab, , Pulparambil, S., Awadalla, M. (2020). Develop- ment of an IoT based real-time traffic monitoring system for city governance. Global Transitions, 2, 230–245. https://doi.org/10.1016/j.glt.2020.09.004

  5. Venkateshwari, , Gopi Krishna, S., Gurudeep, C. P., Syed Zain, N., Vignesh, J. (2024).Ambulance Blocking Vehicles Identification by Artificial Intelligence. Indian Journal of Computer Science and Technology, 3(2), 123–126.

  6. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You Only Look Once: Unified, Real-Time Object Detection,” Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), pp. 779–788, 2016.

  7. Bochkovskiy, C.-Y. Wang, and H.-Y. M. Liao, “YOLOv4: Optimal Speed and Accuracy of Object Detection,” arXiv preprint arXiv:2004.10934, 2020.

  8. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools, 2000.

  9. Smith, “An Overview of the Tesseract OCR Engine,” Proc. Ninth Int. Conf. on Document Analysis and Recognition, vol. 2, pp. 629–633, 2007.

  10. Du, M. Ibrahim, M. Shehata, and W. Badawy, “Automatic License Plate Recognition (ALPR): A State-of-the-Art Re- view,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 2, pp. 311–325, 2013.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 03 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top