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One of the most significant transportation issues in rapidly expanding urban areas, particularly in developing nations, is traffic congestion. Traffic delays have increased and transportation efficiency has decreased as a result of an increasing population, an increase in vehicle ownership, and inadequate road infrastructure expansion. Conventional traffic signal systems are unable to effectively respond to constantly shifting traffic conditions because they typically operate on fixed timing schedules. As a result, long lines at intersections result in economic losses, increased travel time, air pollution, and excessive fuel consumption. The purpose of this study is to investigate the significance of intelligent traffic management systems in supporting sustainable transportation and enhancing urban mobility. The study focuses on intelligent transportation technologies that can optimize traffic movement, adaptive traffic signal control, and real-time traffic monitoring. To dynamically adjust signal timings in response to traffic density, the proposed framework incorporates sensors, surveillance cameras, communication systems, data analytics, and other components. The study shows that intelligent traffic management systems can cut down on vehicle delays, improve traffic flow, use less gas, and have less of an impact on the environment. According to the findings, intelligent traffic solutions have the potential to have a significant impact on the growth of effective and long-lasting urban transportation networks in developing cities.
Keywords:
Intelligent transportation systems, adaptive traffic control, sustainable transportation, and urban mobility all contribute to traffic congestion
Cite Article:
"SUSTAINABLE URBAN TRANSPORTATION USING SMART TRAFFIC MANAGEMENT SYSTEMS IN DEVELOPING CITIES ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a707-a711, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605087.pdf
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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