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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.
Keywords:
Real-time Path Optimization, Adaptive Green Corridor, Emergency Vehicle Prioritization, Intelligent Transportation System, Traffic Signal Control.
Cite Article:
"REAL-TIME PATH OPTIMIZATION AND ADAPTIVE GREEN CORRIDOR FOR EMERGENCY VEHICLE PRIORITIZATION", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.b483-b491, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508163.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator