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Paper Title

REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION

Authors

Jadhav Prafulla Balshiram , Dr. Manish Saraf

Keywords

Real-time Path Optimization, Adaptive Green Corridor, Emergency Vehicle Prioritization, Intelligent Transportation System, Traffic Signal Control.

Abstract

To better prioritize emergency vehicles in urban traffic, this research examines the efficacy of adaptive green corridor systems and real-time route optimization. The study compared the pre- and post-system-enabled states of travel in terms of time, congestion, signal coordination, algorithm performance, and response SLA compliance using a quantitative experimental research approach. The study took place in a city traffic environment with changeable congestion, many signalized junctions, and a wide variety of emergency occurrence types, such as heart crises, road accidents, fire rescue, police escorts, and more. The suggested system's flexibility and robustness may be realistically assessed using such a diverse combination. Through the use of incident management records, traffic monitoring systems, and GPS-based tracking, data for the research was gathered from 125 emergency response trips. Results show that travel delays, route coordination, and on-time response rates were all much improved when adaptive traffic signal management and real-time path optimization were combined. Findings from this study may help urban planners, legislators, and traffic authorities better prepare for and respond to emergencies by shedding light on the role that intelligent transport systems can play in enhancing urban emergency management.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 8, page no.b483-b491, August-2025, Available :https://ijrti.org/papers/IJRTI2508163.pdf
APA — 7th edition
Balshiram, J. P., & Saraf, M. (2025). REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION. International Journal for Research Trends and Innovation, 10(8), b483-b491. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508163
MLA — 9th edition
Balshiram, Jadhav Prafulla, and Manish Saraf. "REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION." International Journal for Research Trends and Innovation, vol. 10, no. 8, 2025, pp. b483-b491, https://ijrti.org/viewpaperforall.php?paper=IJRTI2508163.
Chicago — 17th, bibliography
Balshiram, Jadhav Prafulla, and Manish Saraf. "REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION." International Journal for Research Trends and Innovation 10, no. 8 (2025): b483-b491. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508163.
Harvard — author–date
Balshiram, J.P. and Saraf, M. (2025) 'REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION', International Journal for Research Trends and Innovation, 10(8), pp. b483-b491. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2508163
IEEE — numbered reference
J. P. Balshiram and M. Saraf, "REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION," IJRTI, vol. 10, no. 8, pp. b483-b491, Aug. 2025.
Vancouver — biomedical
Balshiram JP, Saraf M. REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION. IJRTI. 2025 Aug;10(8):b483-b491.
AMA — 11th edition
Balshiram JP, Saraf M. REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION. IJRTI. 2025;10(8):b483-b491. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2508163
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2508163, author = {Jadhav Prafulla Balshiram and Manish Saraf}, title = {REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION}, journal = {International Journal for Research Trends and Innovation}, volume = {10}, number = {8}, pages = {b483-b491}, year = {2025}, month = {August}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2508163} }
RIS — EndNote, RefWorks
TY - JOUR AU - Balshiram, Jadhav Prafulla AU - Saraf, Manish TI - REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 10 IS - 8 PY - 2025 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2508163 SP - b483-b491 ER -

Issue

Volume 10 Issue 8, August-2025
Pages : b483-b491

Other Publication Details

Paper Reg. ID IJRTI_206067
Published Paper ID IJRTI2508163
Downloads 205,667
Research Area Engineering
Country -, -, India
Published August 2025

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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